Filters: Tags: housing density (X)
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This raster dataset is the result of a subtraction of the classification of raster datasets bhd2030us and bhd2000us. Both are produced using the SERGoM v3 model, they depict housing density for the coterminous US in 2030 and 2000, resp., and are based on 2000 US Census Bureau block (SF1) datasets. (The classication of the subtraction is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called CUS_UPP_100 depicts protected/unprotected lands and Census water polygons. First, Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that was public and/or protected in the UNPROTPRIV100...
This raster dataset is the result of a subtraction of the classification of raster datasets bhd2030us and bhd2000us. Both are produced using the SERGoM v3 model, they depict housing density for the coterminous US in 2030 and 2000, resp., and are based on 2000 US Census Bureau block (SF1) datasets. (The classication of the subtraction is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called CUS_UPP_100 depicts protected/unprotected lands and Census water polygons. First, Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that was public and/or protected in the UNPROTPRIV100...
This dataset represents the location and density of private land housing units across the Central Great Basin and Range Ecosystem (CBR) ecosystem for 2010. This dataset was clipped from a national coverage and reprojected. This dataset was created by Dr. Dave Theobald, Colorado State University. The dataset was clipped, reprojected and evaluated by NatureServe for use the BLM's MBR Rapid Ecological Assessment. The source contact for this dataset is Dr. David M. Theobald, Colorado State University. davet@cnr.colostate.edu. This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000, based...
This dataset represents the modeled (forcast) location and density of private land housing units across the Central Great Basin and Range (MBR) ecosystem in 2030. This dataset was clipped from a national coverage and reprojected. This dataset was created by Dr. Dave Theobald, Colorado State University. The dataset was clipped, reprojected and evaluated by NatureServe for use the BLM's MBR Rapid Ecological Assessment. The source contact for this dataset is Dr. David M. Theobald, Colorado State University. davet@cnr.colostate.edu. This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000,...
This dataset represents the modeled (forcast) the location and density of private land housing units across the Mojave Basin and Range (MBR) ecosystem in 2060. This dataset was clipped from a national coverage and reprojected. This dataset was created by Dr. Dave Theobald, Colorado State University. The dataset was clipped, reprojected and evaluated by NatureServe for use the BLM's MBR Rapid Ecological Assessment. The source contact for this dataset is Dr. David M. Theobald, Colorado State University. davet@cnr.colostate.edu. This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000,...
The Forests to Faucets project uses a GIS to model and map the land areas across the United States that are most important to surface drinking water sources, as well as to identify forested areas important to the protection of drinking water and areas where drinking water supplies might be threatened by development, insects and diseases, and wildland fire. The results of this assessment provide information that can identify areas of interest for protecting surface drinking water quality. The spatial dataset can be ncorporated into broad-scale planning and can help identify areas for further local analysis. In addition it can be incorporated into existing decision support tools that currently lack spatial data on...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: development,
forests,
forests to faucets,
housing density,
threatened,
Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grasslands and Plains,
Greater Wildland Ecosystem,
Housing Density,
LANDFIRE,
Land Use Land Cover,
This product is a 100-meter resolution raster which classifies urban lands in the conterminous United States by the year in which they were “first developed.” The classification is based on housing density by era for 1940-2010 developed by the University of Wisconsin-Madison SILVIS lab. The classification was applied by identifying a housing unit density threshold which matched current-era “development” as represented by U.S. Census Urban Areas polygons, then re-applying that threshold to former eras back to 1940. The result is a national raster (.tif format) with eight classes, for the years 1940 and before, 1950, 1960, 1970, 1980, 1990, 2000, and 2010, representing the year in which a pixel crossed the threshold...
Types: Citation;
Tags: Geography,
Historical land use,
Housing density,
Land Use Change,
Land use change,
Opportunities to improve the ecological functioning of agricultural landscapes in the U.S. Midwest exist, and could include the restoration of native plant communities to improve biodiversity or the modification of agricultural production systems to enhance the provisioning of ecosystem services to society. To be most effective in achieving these goals, restoration efforts require knowledge of past conditions and drivers of change. We assessed landscape change in the Clear Creek, Iowa watershed from 1940 to 2002 using five metrics derived from aerial photos: land cover composition and configuration, housing density and spatial pattern, and stream sinuosity. Major cover changes in the watershed included increases...
Categories: Publication;
Types: Citation;
Tags: Agriculture,
Data Visualization & Tools,
Housing density,
Iowa,
Land use/land cover change,
This tabular data set contains information on historic housing densities for every 10 years from 1940-2010, compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is from Hammer and others (SILVIS Lab, University of Wisconsin, 2008). The data provided here contains information for eight time periods: 1940, 1950, 1960, 1970, 1980, 1990, 2000, and 2010. The units are housing units per square kilometer. Reach catchment information characterizes...
Types: Citation;
Tags: Census blocks,
Conterminous United States,
Inlandwaters,
NHDPlus,
SILVIS Lab,
The data are classified into descriptive categories for general analytic and cartographic purposes. 99 = Commercial/Industrial 4 = <0.25 acres/unit = "urban" 3 = 0.25 to 2 acres/unit = "suburban" 2 = 2 to 40 acres/unit = "exurban" 1 = >40 acres/unit = "rural Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: 2010,
housing density
This dataset represents the modeled (forcast) location and density of private land housing units across the Central Great Basin and Range (CBR) ecosystem for the year 2060. This dataset was clipped from a national coverage and reprojected. This dataset was created by Dr. Dave Theobald, Colorado State University. The dataset was clipped, reprojected and evaluated by NatureServe for use the BLM's MBR Rapid Ecological Assessment. The source contact for this dataset is Dr. David M. Theobald, Colorado State University. davet@cnr.colostate.edu. This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous...
This raster dataset is the result of a subtraction of the classification of raster datasets bhd2030us and bhd2000us. Both are produced using the SERGoM v3 model, they depict housing density for the coterminous US in 2030 and 2000, resp., and are based on 2000 US Census Bureau block (SF1) datasets. (The classication of the subtraction is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called CUS_UPP_100 depicts protected/unprotected lands and Census water polygons. First, Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that was public and/or protected in the UNPROTPRIV100...
This dataset represents the location and density of private land housing units across the Mojave Basin and Range (MBR) ecosystem in 2010. This dataset was clipped from a national coverage and reprojected. This dataset was created by Dr. Dave Theobald, Colorado State University. The dataset was clipped, reprojected and evaluated by NatureServe for use the BLM's MBR Rapid Ecological Assessment. The source contact for this dataset is Dr. David M. Theobald, Colorado State University. davet@cnr.colostate.edu. This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000, based on 2000 US Census...
Using geographic information systems (GIS), we mapped housing and population counts from the decennial U.S. Census Data at block group level geography to produce a spatially explicit dataset for the coterminous U.S. We also overlaid the raw housing data with the Protected Areas Dataset (PAD version 1.1) to split census block groups into privately and publicly owned sub-blocks, thereby creating a map that more accurately locates where people and houses exist in space. This data is useful within a GIS for mapping and analysis at national, state, and local levels.
Categories: Data;
Tags: Academics & scientific researchers,
Block,
Census,
Complete,
Conservation NGOs,
Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: climate,
housing density,
land use,
modeling
This dataset represents the modeled (forcast) location and density of private land housing units across the Mojave Basin and Range (MBR) ecosystem in 2030. This dataset was clipped from a national coverage and reprojected. This dataset was created by Dr. Dave Theobald, Colorado State University. The dataset was clipped, reprojected and evaluated by NatureServe for use the BLM's MBR Rapid Ecological Assessment. The source contact for this dataset is Dr. David M. Theobald, Colorado State University. davet@cnr.colostate.edu. This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000, based...
Conclusions:Bird and medium sized mammal population densities were affected by the arrangement and density of exurban housing developments, with both species groups avoiding developments up to 180 away. The composition of native wildlife is altered in the vicinity of exurban housing developments.Thresholds/Learnings:Avian densities were altered up to 180m away from homes on the perimeter of ex-urban developments.
Categories: Publication;
Types: Citation;
Tags: Land use configuration,
Landscape fragmentation,
Natural cover amount,
Western Colorado,
birds,
Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Fragmentation,
Grasslands and Plains,
Greater Wildland Ecosystem,
Housing Density,
LANDFIRE,
Land use change and fragmentation of Fort Peck Greater Wildland Ecosystems (GWE) using LANDFIRE data
Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Fragmentation,
Grasslands and Plains,
Greater Wildland Ecosystem,
Housing Density,
Land Use Land Cover,
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