The rail lines layer represents the freight lines of the nation's railroad system. The data set covers all 50 states and the District of Columbia, as well as territories and possessions of the United States. This layer has been trimmed to the Region 9 Area: California, Hawaii, Arizona, Nevada as well as New Mexico. This product is an interim deliverable. States currently complete but not visible in this layer include Alabama, Arkansas, Connecticut, District of Columbia, Delaware, Florida, Georgia, Idaho, Illinois, Iowa, Louisiana, Maine, Maryland, Massachusetts, Mississippi, Missouri, Montana, New Hampshire, New Mexico, North Carolina, North Dakota, Oregon, Puerto Rico, Rhode Island, South Carolina, Tennessee, Texas, Vermont, Virginia, Washington, and Wyoming. States not completed include Alaska, California, Colorado, Indiana, Kansas, Kentucky, Michigan, Minnesota, Nebraska, New Jersey, New York, Ohio, Oklahoma, Pennsylvania, South Dakota, Utah, West Virginia, and Wisconsin. No rail lines exist in American Samoa, Guam, Northern Mariana Islands, and the Virgin Islands of the US.

USGS Historical Quadrangle in GeoPDF. The USGS Historical Quadrangle Scanning Project (HQSP) is scanning all scales and all editions of topographic maps published by the U.S. Geological Survey (USGS) since the inception of the topographic mapping program in 1884.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for Allegheny Portage Railroad National Historic Site. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

These are vector datasets for the Route 66 Corridor Preservation Program.

A dataset comprised of road centerlines in Wyoming, USA, digitized to 2015 aerial photography from the National Agriculture Imagery Program. This dataset is an update to a former U.S. Geological Survey Data Series (“Large scale Wyoming transportation data: a resource planning tool”: O'Donnell and others, 2014) digitized to 2009 aerial photography. The U.S. Geological Survey Fort Collins Science Center created statewide roads data for the Bureau of Land Management Wyoming State Office using 2015 aerial photography from the National Agriculture Imagery Program. To ensure a systematic and repeatable approach of capturing roads on the landscape using on-screen digitizing from true color National Agriculture Imagery Program imagery, we developed a photogrammetry key and quality assurance/quality control protocols (O'Donnell and others, 2014). The updated statewide roads data will support the Bureau of Land Management’s resource management requirements with a standardized map product representing 2015 ground conditions. The data product, represented at 1:4,000 and +/- 10 meters spatial accuracy, contains 397,603 kilometers (O'Donnell and others, 2014 included 425,275 kilometers) within seven attribute classes. The quality control of these products indicated a 97.2 percent accuracy of aspatial information and 98.8 percent accuracy of spatial locations (an 86.3% accuracy was determined when considering spatial accuracy of mapped roads, commission errors, and omission errors). All errors identified during quality assurance assessments were corrected in the final product. Approximately 52 percent of the updated roads data were corrected for spatial errors of greater than 1 meters relative to the pre-existing road data (O'Donnell and others, 2014). Twenty percent of the updated roads involved correcting spatial errors of greater than 5 meters and 16 percent of the updated roads involved correcting spatial errors greater than 9 meters. The updated dataset includes the following improvements:1) Roads developed since 2009 but not roads developed after 2015; 2) Removal of commission errors (roads that were digitized but did not exist in imagery) was a principal focus of this dataset.

A dataset comprised of road centerlines in Wyoming, USA, digitized to 2015 aerial photography from the National Agriculture Imagery Program. This dataset is an update to a former U.S. Geological Survey Data Series (“Large scale Wyoming transportation data: a resource planning tool”: O'Donnell and others, 2014) digitized to 2009 aerial photography. The U.S. Geological Survey Fort Collins Science Center created statewide roads data for the Bureau of Land Management Wyoming State Office using 2015 aerial photography from the National Agriculture Imagery Program. To ensure a systematic and repeatable approach of capturing roads on the landscape using on-screen digitizing from true color National Agriculture Imagery Program imagery, we developed a photogrammetry key and quality assurance/quality control protocols (O'Donnell and others, 2014). The updated statewide roads data will support the Bureau of Land Management’s resource management requirements with a standardized map product representing 2015 ground conditions. The data product, represented at 1:4,000 and +/- 10 meters spatial accuracy, contains 397,603 kilometers (O'Donnell and others, 2014 included 425,275 kilometers) within seven attribute classes. The quality control of these products indicated a 97.2 percent accuracy of aspatial information and 98.8 percent accuracy of spatial locations (an 86.3% accuracy was determined when considering spatial accuracy of mapped roads, commission errors, and omission errors). All errors identified during quality assurance assessments were corrected in the final product. Approximately 52 percent of the updated roads data were corrected for spatial errors of greater than 1 meters relative to the pre-existing road data (O'Donnell and others, 2014). Twenty percent of the updated roads involved correcting spatial errors of greater than 5 meters and 16 percent of the updated roads involved correcting spatial errors greater than 9 meters. The updated dataset includes the following improvements:1) Roads developed since 2009 but not roads developed after 2015; 2) Removal of commission errors (roads that were digitized but did not exist in imagery) was a principal focus of this dataset.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Allegheny Portage Railroad National Historic Site. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Fifty-one map classes were developed to describe the COLM vegetation mapping project area. Of these, 26 are NVC-based vegetation map classes, four are geology map classes, seven are vegetated land use map classes and 14 are non-vegetated land-use map classes. Of the 26 vegetation map classes, 16 represent single NVC plant associations; the other 10 map classes contain multiple plant associations. One map class consists of point data representing seep and spring vegetation. It is contained in a separate coverage from the polygon map classes.