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Development of oil and gas wells leads to the destruction and fragmentation of natural habitat. Oil and gas wells also increase noise levels which has been shown to be detrimental to some wildlife species. Therefore, the density of oil and gas wells in the western United States was modeled based on data obtained from the National Oil and Gas Assessment.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Conservation Assessment,
Idaho,
The U.S. Geological Survey (USGS) collected over 1,840 physical property measurements on selected plutons in the Great Basin, primarily in California and Nevada. Data include station identifier, geographic coordinates, rock type, density, magnetic susceptibility, remanent magnetization, declination, and inclination where available. Data are presented in ASCII format and include density and magnetic property data in pluton_data.csv, a data dictionary describing the data fields in data_dictionary.csv, and a rock data dictionary listing rock types in rock_dictionary.csv. Preliminary results and interpretation were described by Ponce and others (2010) and some samples are from Sikora and others (1991). References: Ponce,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Density,
Energy Resources,
Geophysical studies,
Geophysics,
Great Basin, parts of California, Nevada, Oregon, Utah, and Arizona,
The U.S. Geological Survey (USGS) has collected or incorporated over 20,000 physical property measurements into an ASCII database. These data are primarily from the western U.S. and Alaska and are dominated by granitic rock samples from the Sierra Nevada (compiled by Sikora and others, 1991), but also include a range of other commonly found rocks types. The data include density, magnetic susceptibility, and in some cases, remanent magnetic properties. Density data for more recently collected samples include grain, dry-bulk, and saturated-bulk density measurements. Sample locations are in the North American Datum of 1927 (NAD27) and elevations are in the National Geodetic Vertical Datum of 1929 (NGVD29). These physical...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Density,
Geophysical studies,
Geophysics,
Magnetic properties,
Physical Properties,
Researchers at the U.S. Forest Service Southern Research Station have utilized the National Land Cover Database (NLCD) to calculate a suite of land cover and forest fragmentation metrics at landscape scales. These datasets yield rich spatial information about urbanization, its effects on forests, and how urban areas interface and mix with rural, agricultural, and forest landscapes.The Forest Area Density (FDEN) map (Landscape Forest Density) illustrates the proportion of the landscape around a given forest area that is also forested. Areas with low forest density may be fragmented by agricultural land use and/or urban and exurban development. FDEN map is colored according to the amount of other forest in a surrounding...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
USFS Forest Inventory Analysis Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the U.S. Department of Agriculture (USDA) Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
This dataset contains the density of historic fire occurrences (points) within 1 km reporting units in the Landscape Assessment study area. This is an intermediate result of a geoprocesing model to characterize the historic distribution of wildfire in the study area. Density of historic fire occurrences was calculated by taking the count of all historic fire points within each 1 km polygon. The attribute Fire_Count represents the total number of fire occurrences in the 1 km reporting unit; the attribute fire_pt_fz represents the density fuzzy value (based on count), which was used to symbolize the feature's layer file.
Using GIS, the SILVIS Lab at the University of Wisconsin-Madison calculated housing and population counts at the block group level with data from the decennial U.S. Census to produce a spatially explicit dataset for the conterminous U.S. This data can help to understand where on the landscape the most and the least dense populations of people live. Housing density can be used as an indicator of urbanization and land-use intensification.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Data,
Human-induced fires have increased the frequency at which fires occur on the landscape. Fires increase the probability of invasion by exotic plant species as well as destroy existing habitats. This model was developed to depict the density of human caused fire ignition points throughout the western United States. Data from the National Fire Ignition Database from 1986 to 2001 was used to calculate the density of human-induced fire ignitions (ignitions / km).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Idaho,
Montana,
We generated a spatially explicit map of categories of expected occurrence and density associated with predicted concentrations of resident and transient common ravens (Corvus corax; ravens) using the residuals from a generalized linear regression between the occurrence and density parameters. These data support the following publication: Webster, S.C., O'Neil, S.T., Brussee, B.E., Coates, P.S., Jackson, P.J., Tull, J.C. and Delehanty, D.J., 2021. Spatial modeling of common raven density and occurrence helps guide landscape management within Great Basin sagebrush ecosystems. Human–Wildlife Interactions, 15(3), p.10. https://doi.org/10.26077/djza-3976.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
Colorado,
Great Basin,
Idaho,
Montana,
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