US Forest Service as modified from the US Census states data 20111130 S_USA.State vector digital data http://data.fs.usda.gov/geodata/edw/datasets.php The State feature class is the spatial representation of the United States, the District of Columbia, Puerto Rico, American Samoa, Guam, Northern Mariana Islands, and Virgin Islands. The data are an extract of the Census codes and boundaries from the following Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/. Since the Census data do not include the coastline detail, the coastal boundaries have been included through a spatial erase using the Census Hydrography data from the Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/AREAWATER/. The State feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of US States. The State feature class describes the location and boundaries of the United States, the District of Columbia, and the US territories. It includes common identifiers for these entities so this data set can be used in conjunction with other data sets describing states. This feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of States for use by the US Forest Service. 2015 publication date Complete As needed -178.227818 146.082673 71.382691 -14.599854 ISO 19115 Topic Categories boundaries None US USA United States of America Intended for internal Forest Service use or for use by applications with a need to display state boundaries to external audiences. The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. USFS Chief Information Office, Enterprise Data Warehouse physical Washington DC 20250 Please send an e-mail to the address below. data@fs.fed.us Esri ArcGIS 10.2.2.3602 Spatial data was visually inspected to ensure that no invalid gaps or polygon overlaps exist within the dataset. Topological tests using Esri ArcGIS were also done to ensure the same. For states with multi-polygon features only one attribute record will exist. The entire coastline was visually inspected to verify absence of slivers, and those found were deleted. Attribute data was also visually inspected for completeness. State attribute schema was checked to ensure correct US Forest Service schema names, data types, data length, precision, and scale were used. All features from the Census Bureau state dataset were included in the State dataset. However, due to the incorporation of the coastline the area of some states will be smaller than the original Census Bureau state dataset. The following Census Bureau State attributes: REGION, DIVISION, LSAD, MTFCC, FUNCSTAT, ALAND, AWATER, INTPTLAT, and INTPTLON that are not part of the Forest Service County schema were dropped. Reference data with a target scale of 1:740,000. Coordinates in the data have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest. The State dataset is created through a five part process. First, the state dataset is downloaded from the Census Bureau FTP site at ftp://ftp2.census.gov/geo/tiger/TIGER2015/. Second, Esri 'Add field' and 'Populate field' tools are run in order to change attribute names from Census Bureau attribute schema to that of Forest Service. Then, hydrography dataset for each county is downloaded from Census Bureau FTP site at ftp://ftp2.census.gov/geo/tiger/TIGER2015/AREAWATER/. All datasets are merged, and features that will form the coastline are selected. Finally, coastline is erased from the state dataset to incorporate coastline detail. 2016 Vector Simple FALSE 56 TRUE FALSE 8.98315284119521e-009 8.98315284119521e-009 Decimal Degrees D North American 1983 GRS 1980 6378137.0 298.257222101 BdyDesg_State A collection of geographic features with the same geometry type (such as point, line, or polygon), the same attributes, and the same spatial reference. http://support.esri.com/en/knowledgebase/GISDictionary/term/feature%20class Feature Class 56 OBJECTID Internal feature number. ESRI OID 4 10 0 Sequential unique whole numbers that are automatically generated. OBJECTID STATECODE 2010 Census state Federal Information Processing Standards (FIPS) code. ANSI String 2 0 0 List of U.S. State Codes http://www.census.gov/geo/reference/ansi_statetables.html STATECODE GNIS_ID The Geographic Names Information Systems (GNIS) code for this state. Geographic Names Information System String 8 0 0 List of Geographic Names Information System Codes http://geonames.usgs.gov/ GNIS_ID STATE_POSTAL_ABBR United States Postal Service state abbreviation US Postal Service String 2 0 0 List of U.S. State Abbreviations http://pe.usps.gov/text/pub28/28apb.htm STATE_POSTAL_ABBR STATENAME 2010 Census state name US Census String 100 0 0 List of U.S. State Names http://www.census.gov/geo/reference/ansi_statetables.html STATENAME GIS_ACRES The area of the feature in acres, calculated in North American Albers Equal Area Conic projection, North American Datum 1983 (NAD83). US Forest Service Double 8 13 3 Positive numbers GIS_ACRES SHAPE Feature geometry. ESRI Geometry 8 0 0 Coordinates defining the features. SHAPE SHAPE.AREA Not Used, SDO Geometry. Area of feature in internal units squared. ESRI Double 0 0 0 Positive real numbers that are automatically generated. SHAPE.AREA SHAPE.LEN Not used, SDO geometry. Length of feature in internal units. ESRI Double 0 0 0 Positive real numbers that are automatically generated. SHAPE.LEN USFS Chief Information Office, Enterprise Data Warehouse physical Washington DC 20250 Please send an e-mail to the address below. data@fs.fed.us The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. 20170110 USFS Chief Information Office, Enterprise Data Warehouse physical Washington DC 20250 Please send an e-mail to the address below. data@fs.fed.us FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 SM.FS.data@usda.gov 20250319 ArcGIS Metadata 1.0 USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 SM.FS.data@usda.gov http://data.fs.usda.gov/geodata/edw/datasets.php Enterprise Geodatabase Feature Class S_USA.BdyDesg_State 2011-11-30 US Forest Service as modified from the US Census states data vector digital data <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The State feature class is the spatial representation of the United States, the District of Columbia, Puerto Rico, American Samoa, Guam, Northern Mariana Islands, and Virgin Islands. The data are an extract of the Census codes and boundaries from the following Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/. Since the Census data do not include the coastline detail, the coastal boundaries have been included through a spatial erase using the Census Hydrography data from the Census FTP site: ftp://ftp2.census.gov/geo/tiger/TIGER2015/AREAWATER/. The State feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of US States.</SPAN></P></DIV></DIV> The State feature class describes the location and boundaries of the United States, the District of Columbia, and the US territories. It includes common identifiers for these entities so this data set can be used in conjunction with other data sets describing states. This feature class is a US Forest Service Standard Reference Dataset and is the preferred spatial representation of States for use by the US Forest Service. USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 SM.FS.data@usda.gov USA United States of America US ISO 19115 Topic Categories boundaries USA boundaries United States of America US The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. Intended for internal Forest Service use or for use by applications with a need to display state boundaries to external audiences. <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.</SPAN></P></DIV></DIV> Esri ArcGIS 13.3.0.52636 publication date 2015-01-01 -178.227818 146.082673 -14.599854 71.382691 1 -179.147236 179.778470 71.390380 -14.548699 Spatial data was visually inspected to ensure that no invalid gaps or polygon overlaps exist within the dataset. Topological tests using Esri ArcGIS were also done to ensure the same. For states with multi-polygon features only one attribute record will exist. The entire coastline was visually inspected to verify absence of slivers, and those found were deleted. Attribute data was also visually inspected for completeness. State attribute schema was checked to ensure correct US Forest Service schema names, data types, data length, precision, and scale were used. 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