Description: In 2012, the U.S. Naval Facilities Engineering Command (NAVFAC) Marianas developed a resource plan for the Commonwealth of the Northern Mariana Islands (CNMI). The purpose of this plan is to mitigate impacts of the U.S. Navy’s mission on submerged lands under their control. NAVFAC requested that NCCOS develop an updated habitat map for these submerged lands around Navy Base Guam (NBG) and Haputo ERA to help inform their resource decisions and execute recommendations in this plan.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: In 2012, the U.S. Naval Facilities Engineering Command (NAVFAC) Marianas developed a resource plan for the Commonwealth of the Northern Mariana Islands (CNMI). The purpose of this plan is to mitigate impacts of the U.S. Navy’s mission on submerged lands under their control. NAVFAC requested that NCCOS develop an updated habitat map for these submerged lands around Navy Base Guam (NBG) and Haputo ERA to help inform their resource decisions and execute recommendations in this plan.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: In 2012, the U.S. Naval Facilities Engineering Command (NAVFAC) Marianas developed a resource plan for the Commonwealth of the Northern Mariana Islands (CNMI). The purpose of this plan is to mitigate impacts of the U.S. Navy’s mission on submerged lands under their control. NAVFAC requested that NCCOS develop an updated habitat map for these submerged lands around Navy Base Guam (NBG) and Haputo ERA to help inform their resource decisions and execute recommendations in this plan.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: In 2012, the U.S. Naval Facilities Engineering Command (NAVFAC) Marianas developed a resource plan for the Commonwealth of the Northern Mariana Islands (CNMI). The purpose of this plan is to mitigate impacts of the U.S. Navy’s mission on submerged lands under their control. NAVFAC requested that NCCOS develop an updated habitat map for these submerged lands around Navy Base Guam (NBG) and Haputo ERA to help inform their resource decisions and execute recommendations in this plan.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show the sites where benthic photographs were acquired and annotated visually to the nearest 1% for key substrate and biological cover taxonoimc groups. These sites were converted to presences (1) and absences (0) and used to train and validate benthic habitat predictions and a habitat map for submerged areas around Navy Base Guam and Haputo Ecological Reserve Area, Guam.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show predicted benthic substrate and biological cover types for submerged areas around Navy Base Guam. The mean probability of occurrence layers denote the average probability (ranging from 0 to 100%) that a substrate or biological cover type is present in a raster cell. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present. The coefficient of variation (CoV) layers denotes the variation in the predicted probability of occurrence for each substrate type. CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the mean probability is 0.5 and the CoV is 0.1 in a pixel, then 0.5 × 0.1 = ±0.05 or ±1 standard deviation (SD). Assuming normally distributed errors, 68.3% of the data will fall between ±0.05 (or 1 SD), 95.5% of the data will fall between ±0.1 (or 2 SD), and 99.7% of the data will fall between ±0.15 (or 3 SD).
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show predicted benthic substrate types for submerged areas around Navy Base Guam. The mean probability of occurrence layers denote the average probability (ranging from 0 to 100%) that a substrate type is present in a raster cell. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a substrate type is less likely to be present. Higher probabilities (closer to 100%) indicate a substrate type is more likely to be present. The coefficient of variation (CoV) layers denotes the variation in the predicted probability of occurrence for each substrate type. CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the mean probability is 0.5 and the CoV is 0.1 in a pixel, then 0.5 × 0.1 = ±0.05 or ±1 standard deviation (SD). Assuming normally distributed errors, 68.3% of the data will fall between ±0.05 (or 1 SD), 95.5% of the data will fall between ±0.1 (or 2 SD), and 99.7% of the data will fall between ±0.15 (or 3 SD).
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral Reef (All Species) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for live coral reef (all species) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral Reef (All Species) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for live coral reef (all species) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for dead reef (all species) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for dead reef around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for pavement around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for pavement around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for rock around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for rock around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for rubble around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for rubble around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for sand around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for sand around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for mud around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for mud around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show predicted benthic biological cover types for submerged areas around Navy Base Guam. The mean probability of occurrence layers denote the average probability (ranging from 0 to 100%) that a biological cover type is present in a raster cell. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present. The coefficient of variation (CoV) layers denotes the variation in the predicted probability of occurrence for each substrate type. CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the mean probability is 0.5 and the CoV is 0.1 in a pixel, then 0.5 × 0.1 = ±0.05 or ±1 standard deviation (SD). Assuming normally distributed errors, 68.3% of the data will fall between ±0.05 (or 1 SD), 95.5% of the data will fall between ±0.1 (or 2 SD), and 99.7% of the data will fall between ±0.15 (or 3 SD).
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for mangrove around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for mangrove around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Branching) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Live Coral (Branching) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Branching) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Branching) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Porites Rus) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Live Coral (Porites Rus) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Porites Rus) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Porites Rus) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Encrusting) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Live Coral (Encrusting) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Encrusting) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Encrusting) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Foliose) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Live Coral (Foliose) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Foliose) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Foliose) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Seagrass (Halodule spp) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Seagrass (Halodule spp.) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Seagrass (Halodule spp) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Seagrass (Halodule spp.) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for Sponge around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Sponge around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Cyanobacteria - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Cyanobacteria around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Cyanobacteria around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (Turf) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Algae (turf) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (turf) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (Halimeda) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Algae (Halimeda spp) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (Halimeda spp) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (CCA) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Algae (CCA) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (CCA) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (Other) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for Algae (Other) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (Other) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for bare substrate (i.e., no biological cover) around Navy Base Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for bare substrate (i.e., no biological cover) around Navy Base Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: Boosted classification trees were used to develop this benthic habitat map depicting the distribution of the 7 habitats identified by hierarchical cluster analysis. The probability of occurrence maps for individual substrate (n=5) and biological cover (n=13) types were used as predictors. The accuracy of this map was evaluated using an independent set of field data from 328 annotations at 241 sites. The overall accuracy is 86.6% and tau is 0.84 for this map.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show predicted benthic substrate and biological cover types for submerged areas in Haputo Ecological Reserve Area, Guam. The mean probability of occurrence layers denote the average probability (ranging from 0 to 100%) that a substrate or biological cover type is present in a raster cell. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present. The coefficient of variation (CoV) layers denotes the variation in the predicted probability of occurrence for each substrate type. CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the mean probability is 0.5 and the CoV is 0.1 in a pixel, then 0.5 × 0.1 = ±0.05 or ±1 standard deviation (SD). Assuming normally distributed errors, 68.3% of the data will fall between ±0.05 (or 1 SD), 95.5% of the data will fall between ±0.1 (or 2 SD), and 99.7% of the data will fall between ±0.15 (or 3 SD).
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show predicted benthic substrate types for submerged areas in Haputo Ecological Reserve Area, Guam. The mean probability of occurrence layers denote the average probability (ranging from 0 to 100%) that a substrate type is present in a raster cell. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present. The coefficient of variation (CoV) layers denotes the variation in the predicted probability of occurrence for each substrate type. CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the mean probability is 0.5 and the CoV is 0.1 in a pixel, then 0.5 × 0.1 = ±0.05 or ±1 standard deviation (SD). Assuming normally distributed errors, 68.3% of the data will fall between ±0.05 (or 1 SD), 95.5% of the data will fall between ±0.1 (or 2 SD), and 99.7% of the data will fall between ±0.15 (or 3 SD).
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral Reef (All Species) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) for live coral reef (all species) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral Reef (All Species) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for live coral reef (all species) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for dead reef in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for dead reef in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for pavement in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for pavement in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for rock in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for rock in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for rubble in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for rubble in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for sand in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for sand in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for mud in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for mud in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: These datasets show predicted benthic biological cover types for submerged areas in Haputo Ecological Reserve Area, Guam. The mean probability of occurrence layers denote the average probability (ranging from 0 to 100%) that a biological cover type is present in a raster cell. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present. The coefficient of variation (CoV) layers denotes the variation in the predicted probability of occurrence for each substrate type. CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the mean probability is 0.5 and the CoV is 0.1 in a pixel, then 0.5 × 0.1 = ±0.05 or ±1 standard deviation (SD). Assuming normally distributed errors, 68.3% of the data will fall between ±0.05 (or 1 SD), 95.5% of the data will fall between ±0.1 (or 2 SD), and 99.7% of the data will fall between ±0.15 (or 3 SD).
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) mangroves in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for mangroves in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Branching) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Live Coral (Branching) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Branching) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Branching) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Porites Rus) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Live Coral (Porites rus) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Porites Rus) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Porites rus) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Encrusting) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Live Coral (Encrusting) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Encrusting) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Encrusting) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Foliose) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Live Coral (Foliose) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Live Coral (Foliose) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Live Coral (Foliose) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Seagrass (Halodule spp) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Seagrass (Halodule spp) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Seagrass (Halodule spp) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Seagrass (Halodule spp) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) Sponge in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Sponge in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Cyanobacteria - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Cyanobacteria in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Cyanobacteria in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (Turf) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Algae (Turf) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (Turf) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (Halimeda spp) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Algae (Halimeda spp) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (Halimeda spp) - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (Halimeda spp) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (CCA) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Algae (CCA) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (CCA) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Name: Algae (Other) - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This dataset shows the average predicted probability of occurrence (%) Algae (Other) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for Algae (Other) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the average predicted probability of occurrence (%) for bare substrate (i.e., no biological cover) in Haputo Ecological Reserve Area, Guam. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Lower probabilities (closer to 0%) indicate a habitat type is less likely to be present. Higher probabilities (closer to 100%) indicate a habitat type is more likely to be present.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: This dataset shows the variation in the predicted probability of occurrence for bare substrate (i.e., no biological cover) in Haputo Ecological Reserve Area, Guam. Variation is described as coefficient of variation (CoV). CoV is unitless and is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.
Description: Boosted classification trees were used to develop this benthic habitat map depicting the distribution of the 5 habitats identified by hierarchical cluster analysis. The probability of occurrence maps for individual substrate (n=5) and biological cover (n=13) types were used as predictors. The accuracy of this map was evaluated using an independent set of field data from 328 annotations at 241 sites. The overall accuracy is 86.6% and tau is 0.84 for this map.
Copyright Text: This project was designed and executed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) in consultation with local academic and governmental organizations. The work was funded by the Naval Facilities Engineering Command (NAVFAC) with in-kind contributions from NCCOS.