asdi.location.ADMIN_FEATURES_GNIS_USGS

The Geographic Names Information System contains information about physical and cultural geographic features of all types in the United States, associated areas, and Antarctica, current and historical, but not including roads and highways. The database holds the Federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature designations, feature classification, historical and descriptive information, and for some categories the geometric boundaries. The database assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. The GNIS collects data from a broad program of partnerships with Federal, State, and local government agencies and other authorized contributors. The GNIS provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map and feature services, file download services, and customized files upon request.

The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature in support of the U.S. Board on Geographic Names. The Administrative Features layer (ADMIN_FEATURE) in the GNIS Web Map Service contains all features in the database with Feature Class of Civil, Forest, Park, Reserve. See http://geonames.usgs.gov/domestic/feature_class.htm for feature class values and definitions. The ADMIN_FEATURE250 layer contains large features designated by the Geographic Names Office as ones that should be labeled on maps or displays with a scale of 1:250,000. See http://geonames.usgs.gov for additional information.

The Geographic Names Information System was developed by the U.S. Geological Survey in cooperation with the U.S. Board on Geographic Names.

None. Acknowledgement of the U.S. Geological Survey would be appreciated in products derived from these data.