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Roads (RVF-Group)
This dataset has no description
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Roads Density (Global Roads Inventory Project - GRIP)
The Global Roads Inventory Project (GRIP) dataset was developed to provide a more recent and consistent global roads density for use in global environmental and biodiversity... -
Land Area (Global - km²) - GRIP
Land area in km² per 5 arcminute cell. This layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads... -
TIGER/Line Shapefile, Current, County, Richardson County, NE, All Roads
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the... -
Local Roads Density (GRIP)
The Local Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use... -
Primary Roads Density (GRIP)
The Primary Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for... -
Highways Density (GRIP)
The Highways Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in... -
Tertiary Roads Density (GRIP)
The Tertiary Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for... -
Secondary Roads Density (GRIP)
The Secondary Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for... -
Total Roads Density (GRIP)
The Total Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use... -
BLM REA MIR 2011 Roads (TIGER)
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's... -
Basemap Framework Submission for Coos County OR
Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is... -
Torrance County 2010 Census Edges
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's... -
Roads, New York
A vector line file of public/private streets compiled from orthoimagery and other sources that is attributed with street names, addresses, route numbers, routing attributes, and... -
Roads for Harding County, New Mexico, 2006se TIGER
The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single... -
Socorro County 2010 Census Edges
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's... -
BLM REA MIR 2011 MIR and NWP State Boundaries
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's... -
Road - Revenues
2017-18 to 2020-21 Counties Road Annual Report - Revenues, for the finance application. -
TIGER/Line Shapefile, 2012, Series Information File for the Primary and Secon...
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's... -
TIGER/Line Shapefile, 2014, Series Information File for the Primary Roads Nat...
Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished...