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 Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

Map of GRADE Counties with data

Existing Greenways in Mecklenburg County. Data used to display and conduct analysis upon developed greenway layer. Data can only be edited by Mecklenburg County GIS.

Parcel boundaries and ownership data associated with tax parcels within the Town of Matthews jurisdiction. This information is pulled directly from Mecklenburg County Open Mapping and filtered for the Town of Matthews.

NOTE: DO NOT DOWNLOAD THE IMAGERY BY USING THE MAP OR DOWNLOAD TOOLS ON THIS ARCGIS HUB ITEM PAGE. IT WILL RESULT IN A PIXELATED ORTHOIMAGE. INSTEAD, DOWNLOAD THE IMAGERY BY TILE OR BY COUNTY MOSAIC (2010 - current year).This service depicts true color imagery for the 21 counties representing the Northern Piedmont and Mountains region of North Carolina. This includes the following counties: Anson, Buncombe, Cabarrus, Cherokee, Clay, Cleveland, Gaston, Graham, Haywood, Henderson, Jackson, Lincoln, Macon, Mecklenburg, Montgomery, Polk, Rutherford, Stanly, Swain, Transylvania, and Union. The imagery has a pixel resolution of 6 inches and was flown in the beginning of 2019. The RMSE is 1.5 ft X and Y. Individual pixel values may have been altered during image processing. Therefore, this service should be used for general reference and viewing. Image analysis requiring examination of individual pixel values is discouraged. To view the latest imagery for any location in the state, customers should use the "Orthoimagery_Latest" image service (https://services.nconemap.gov/secure/rest/services/Imagery/Orthoimagery_Latest/ImageServer).To find specific dates the images were captured use the imagery dates app or download the data.Metadata:Summary metadata for orthoimagery mosaicsSummary metadata for orthoimagery tilesContractor-specific metadata for Cherokee, Clay, Graham, Macon, and Swain countiesContractor-specific metadata for Buncombe, Haywood, Henderson, Jackson, Transylvania countiesContractor-specific metadata for Cleveland, Gaston, Lincoln, Polk, and Rutherford countiesContractor-specific metadata for Anson, Cabarrus, Mecklenburg, Montgomery, Stanly, and Union counties

We collected open and publicly available data resources from the web from administrative, county- or state-level institutions in the United States and integrated and harmonized cadastral parcel data, tax assessment data, and building footprint data for 33 counties, where building footprint data and building construction year information was available. The result of this effort is a unique dataset which we call the Multi-Temporal Building Footprint Dataset for 33 U.S. Counties (MTBF-33). MTBF-33 contains over 6.2 million building footprints including their construction year, and is available in ESRI Shapefile format (Spatial reference system: SR-ORG:7480), organized per county. We compared the MTBF-33 dataset quantitatively to other building footprint data sources, achieving an overall F-1 score of 0.93. Moreover, we compared the MTBF-33 dataset qualitatively to urban extents from historical maps and find high levels of agreement. The MTBF-33 dataset can be used to support historical building stock assessments, to derive retrospective depictions of built-up areas from 1900 to 2015, at fine spatial and temporal grain and can be used for data validation purposes, or to train statistical learning approaches aiming to extract historical information on human settlements from remote sensing data, historical maps, or similar data sources.

Data sources: Boulder County (Colorado) Open Data Catalog / Florida Geographic Data Library / Hillsborough County, Florida / City of Tampa / Manatee County, Florida / Sarasota County, Florida / City of Evansville, Vanderburgh County, Indiana / Baltimore County Government, Maryland / Bureau of Geographic Information (MassGIS), Commonwealth of Massachusetts, Executive Office of Technology and Security Services / City of Boston / MetroGIS, Minnesota Geospatial Commons, Minnesota Geospatial Information Office, Anoka County, Carver County, Dakota County, Hennepin County, Ramsey County, and Washington County, Minnesota / Monmouth County, New Jersey / City of New York / Mecklenburg County, North Carolina. Data scraping was performed in 2016.