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GAP species range data show a coarse representation of the total areal extent of a species or the geographic limits within which a species can be found (Morrison and Hall 2002). To represent these geographic limits, GAP compiled existing GAP data, where available, and NatureServe data (Patterson et al. 2003, Ridgely et al. 2007, NatureServe 2010) IUCN data (IUCN 2004), where needed. Data provided by GAP in collaboration with the Northwest Gap Analysis Project (NWGAP), the Southwest Regional Gap Analysis Project (SWReGAP), the Southeast Gap Analysis Project (SEGAP), the Alaska Gap Analysis Project (AKGAP), the Hawaii Gap Analysis Project (HIGAP), the Puerto Rico Gap Analysis Project (PRGAP), and the U.S. Virgin Islands...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
Generally, the mapping of land cover is done by adopting or developing a land cover classification system, delineating areas of relative homogeneity (basic cartographic objects), then labeling these areas using categories defined by the classification system. More detailed attributes of the individual areas are added as more information becomes available, and a process of validating both polygon pattern and labels is applied for editing and revising the map. This is done in an iterative fashion, with the results from one step causing re-evaluation of results from another step. In its coarse filter approach to conservation biology (e.g., Jenkins 1985, Noss 1987), gap analysis relies on maps of dominant natural land...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
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A spatial dataset of public and private lands and waters secured by a conservation situation that includes an explicit level of security from future conversion and current incompatible uses.For more information on TNC's Secured Lands project visit: www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/terrestrial/secured/Pages/default.aspx The list of sources for this dataset can be found in the attached word document. The full report on the status and condition of the northeastern natural landscapes, under all levels of protection: https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/Documents/Conservation-Status-of-Fish-Wildlife-and-Natural-Habitats.pdf...
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This dataset represents the cumulative result of multi-season classification of land cover in the GCPO LCC geography to NatureServe Ecological Systems based on 2011 seasonal Landsat Satellite Imagery. The approach used a Random Forest algorithm and several dozen input data layers to classify land cover at a 30 m pixel resolution. The description below is taken directly from the report titled “Update of the Eastern GCPO Land Cover Database to 2011 Using a LS2SRC Approach”, by Dr. Qingmin Meng, Department of Geosciences, Mississippi State University.Random Forest classifier is based on the general decision tree approach, which has been a popular approach to multilevel and multistage decision making. Its basic idea...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...


map background search result map search result map U.S. Geological Survey Gap Analysis Program Species Ranges Common Loon (Gavia immer) Modeled Distribution Greater Sage-grouse (Centrocercus urophasianus) Modeled Distribution Ferruginous Hawk (Buteo regalis) Modeled Distribution Mountain Plover (Charadrius montanus) Modeled Distribution Black-footed Ferret (Mustela nigripes) Modeled Distribution Burrowing Owl (Athene cunicularia) Modeled Distribution U.S. Geological Survey Gap Analysis Program Species Distribution Models Secured Lands by GAP Status, 2012, Northeast Landcover Ecological Systems Classification 2011 Update for the Eastern GCPO LCC Geography FSA 10:1 NAIP Imagery m_3907608_nw_18_1_20150503_20151201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3907608_sw_18_1_20150503_20151201 3.75 x 3.75 minute JPEG2000 from The National Map U.S. Geological Survey Gap Analysis Program Species Distribution Models USGS 1:24000-scale Quadrangle for Gap, PA 1955 USGS 1:24000-scale Quadrangle for Gap, PA 1955 USGS 1:24000-scale Quadrangle for Gap, PA 1955 USGS 1:24000-scale Quadrangle for Gap, PA 1955 FSA 10:1 NAIP Imagery m_3907608_nw_18_1_20150503_20151201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3907608_sw_18_1_20150503_20151201 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Gap, PA 1955 USGS 1:24000-scale Quadrangle for Gap, PA 1955 USGS 1:24000-scale Quadrangle for Gap, PA 1955 USGS 1:24000-scale Quadrangle for Gap, PA 1955 Landcover Ecological Systems Classification 2011 Update for the Eastern GCPO LCC Geography Black-footed Ferret (Mustela nigripes) Modeled Distribution Secured Lands by GAP Status, 2012, Northeast Greater Sage-grouse (Centrocercus urophasianus) Modeled Distribution Mountain Plover (Charadrius montanus) Modeled Distribution Ferruginous Hawk (Buteo regalis) Modeled Distribution Burrowing Owl (Athene cunicularia) Modeled Distribution Common Loon (Gavia immer) Modeled Distribution U.S. Geological Survey Gap Analysis Program Species Distribution Models U.S. Geological Survey Gap Analysis Program Species Ranges U.S. Geological Survey Gap Analysis Program Species Distribution Models