The Cumberland County GIS Data Viewer provides the general public with parcel, zoning, hydrology, soils, utilities and topographic data. You can search for a specific address, street name, parcel number (PIN), or by the owner's name.

NOTE: To download parcels by county DO NOT use the map. Instead:click the Download buttonclick Download parcels by county or all counties at oncescroll to the Direct Data Downloads section and download your dataThis digital geospatial dataset represents parcel boundaries with standard core attributes for a collection of parcel data from North Carolina county data producers and the Eastern Band of Cherokee Indians. The Integrated Cadastral Data Exchange project transformed source datasets from county data producers to create a standardized dataset with consistent attributes (fields). The individual standardized county datasets were aggregated into a single dataset. The aggregated parcel dataset includes all 100 counties in North Carolina plus lands of the Eastern Band of Cherokee Indians. The source geometry is retained as published by individual county data producers. This dataset includes attributes such as ownership, area in acres, assessed value, and other core cadastral attributes. Web services have both polygons (parcel boundaries) and points representing each property, placed at or near the geometric center, with the same set of attributes.See the NC OneMap parcels page for more information.

Spatial Dataset used to display Places of Worship in Mecklenburg County, North Carolina.

© Data is collected and maintained by The Charlotte Mecklenburg Planning Department. This layer is a component of Dynamic_ISP_DataRemap.

The data depicted in the Wilson County GIS was prepared solely for the purpose of inventory and representation of the Wilson County Cadastre and its source documents and should not be used for any other purpose. The information contained herein was compiled from previously georeferenced data and/or public records, and these primary sources must be consulted for verification of the information contained in this map. This GIS data is not intended to indicate the authoritative location of property boundaries, shape or contour of the earth, or fixed works. GIS maps are not surveys and do not meet the minimum accuracy standards of a Land Information System/Geographic Information System Survey in North Carolina (21 NCAC 56.1608).

The North Carolina Natural Heritage Program"s Managed Areas are primarily a collection of fee simple properties and easements where natural resource conservation is one of the primary management goals. It does include a number of properties and easements that are not primarily managed for conservation, but that are of conservation interest. This conservation interest ranges from properties and easements which support rare species and intact, high-quality natural communities to those that are open spaces in places where open space is scarce. Lands that are Dedicated Nature Preserves or Registered Heritage Areas are found in this data set. These data are the current equivalent of the Conservation Tax Credit Properties and Land Trust Conservation Properties data set. Some of the Managed Areas represented in this data set are on private land and are not open to the public. Written permission should be obtained from all appropriate landowners before visiting any of these sites. NOTE: This is a large dataset and compiling the download using the map may take some time or fail. The data is also available as an Esri shapefile in a ZIP download from the North Carolina Natural Heritage Program"s Data Explorer data download page (https://ncnhde.natureserve.org/content/data-download).

Geospatial data about Davidson County, North Carolina Parcels. Export to CAD, GIS, PDF, CSV and access via API.

The 2045 Land Use Map is based on the recommendations of Advance Apex: The 2045 Land Use Plan Map Update. Amendments approved after initial Plan adoption are incorporated. Activity center nodes are also identified. Mixed Use polygons designate areas where ≥30% of the land use is required to be nonresidential development. Apartment Only polygons designate areas with High Density Residential striping where only apartments are allowed as a future residential land use.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

Geospatial data about Watauga County, North Carolina Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Spatially-complete zoning map of North Carolina, USA. The results folder contains results of a machine learning (random forest) model predicting 3 core district zones (residential, non-residential, and mixed use) and 13 sub-district zones (open space, industrial, commercial, office, planned use, high-density residential, medium-high-density residential, medium-density residential, medium-low-density residential, low-density residential, agricultural residential, mixed use, and downtown). Results are provided as 30-m rasters (.tif) with each value corresponding to a zoning district. Table containing zone district ID (number) and zone district name (character string) is included in zone_classification.csv. Final (spatially complete statewide maps) can be found in the final_predicted folder. This folder includes Statewide core district results in NC_predicted_core.tif and statewide sub-district results in NC_predicted_sub.tif.

Zoning was generalized and reclassified into 3 core district zones and 13 sub-district zones (described above). Reclassified zoning data, collected from 39 counties in North Carolina is provided in the observed folder with core districts in core_district_observed_zones.tif and sub-districts in sub_district_observed_zones.tif. Also in this folder is zoning_implementation_NC.csv which includes links to the source data (zoning map and zoning ordinance) for all collected data.

Two models were created to predict zones under different data availability scenarios (i.e., scenarios that assume different levels of data availability). Predictions labeled “within_county” utilized the within-county model which predicts zoning districts in areas where zoning data is partially available for that county. To approximate scenarios of incomplete data accessibility, 20% of the data was randomly removed from training and reserved for independent performance assessments. Predictions labeled “between-county” utilized the between-county model which predicts zoning districts in areas where zoning data is inaccessible. To approximate this scenario, multiple between-county model iterations were computed by randomly removing entire counties from the training dataset and computing performance metrics on the removed (test) counties. Predictions are provided for both core districts and sub-districts (described above). Results from these models can be found in the predicted folder. This folder contains four subfolders: core_district_within_county, sub_district_within_county, core_district_between_county, and sub_district_between_county. Within each of these folders are predicted maps 30-m raster (.tif), performance reports including precision, recall, and f1 score overall and per district (.csv), and accuracy maps (3-km grid shapefile [.shp, .shx, .prj, .dbf]) with values corresponding to the proportion of misclassified pixels within a grid cell. Multiple randomized testing county samples were conducted for the between-county models. Each random sample is labeled r*_ where * is replaced with a number between 1 and 15.

Geospatial data about Stokes County, North Carolina Parcels. Export to CAD, GIS, PDF, CSV and access via API.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

This dataset contains property owned by the City of Charlotte, North Carolina. Dataset is updated on an 'as-needed' basis.

© City of Charlotte

This service provides base mapping for NCDOT’s 14 Division Boundary Polygons.North Carolina Dept. of Transportation Division Polygons are selected from County Boundaries. Most of the lines currently are from the DOT county maps which originally come from USGS but might have been updated by the county parcel maps. NCDOT Divisions are made up of multiple North Carolina counties. The North Carolina County boundary service provides location information for North Carolina County Boundary lines derived from the best available survey and/or Geographic Information System (GIS) data. Sources for information are the North Carolina Geodetic Survey (NCGS), NC Department of Transportation (NCDOT), United States Geological Survey (USGS), and field surveys conducted by licensed surveyors. Most of the lines currently are from the DOT county maps which originally come from USGS but might have been updated by the county parcel maps.MetadataThe metadata for the contained layer of the NCDOT Division Boundaries Service is available through the following link:Division BoundariesPoint of Contact North Carolina Department of Information Technology -Transportation, GIS UnitGIS Data and Services ConsultantContact information:gishelp@ncdot.govCentury Center – Building B1020 Birch Ridge DriveRaleigh, NC 27610Hours of service: 9:00am - 5:00pm Monday – FridayContact instructions: Please send an email with any issues, questions, or comments regarding the Division Boundaries data. If it is an immediate need, please indicate as such in the subject line in an email.NCDOT GIS Unit GO! NC Product Team

NOTE: To download parcels by county DO NOT use the map. Instead:click the Download buttonclick Download parcels by county or all counties at oncescroll to the Direct Data Downloads section and download your dataThis digital geospatial dataset represents parcel boundaries with standard core attributes for a collection of parcel data from North Carolina county data producers and the Eastern Band of Cherokee Indians. The Integrated Cadastral Data Exchange project transformed source datasets from county data producers to create a standardized dataset with consistent attributes (fields). The individual standardized county datasets were aggregated into a single dataset. The aggregated parcel dataset includes all 100 counties in North Carolina plus lands of the Eastern Band of Cherokee Indians. The source geometry is retained as published by individual county data producers. This dataset includes attributes such as ownership, area in acres, assessed value, and other core cadastral attributes. Web services have both polygons (parcel boundaries) and points representing each property, placed at or near the geometric center, with the same set of attributes.See the NC OneMap parcels page for more information.

This data set was created by the North Carolina Department of Agriculture and Consumer Services (NCDA&CS). This Forest (Tree) Land Cover data was derived from the North Carolina, 4 band, 2016, USDA National Agriculture Imagery Program (NAIP) imagery.It includes the entire state of NC, except Ft. Bragg. It is one (1) meter pixel resolution which makes hiding errors difficult. Some errors (incorrect classification) exists but we estimate the data is better than 90% accurate. When viewing this data, NCDA&CS highly recommends using aerials from 2016 for a base map. The original NAIP (raster) data was in TIF format (DOQQ tiles) and was natively in UTM projection.A decision rule supervised classification process was specifically designed around the tonal differences inherent in NAIP imagery. It used with spectral and textural (to separation grasslands from trees) information derived for each 4 band NAIP tile (quarter quad). A total of 3,564 tiles or 16 TBs of data were processed. The classification resulted in a 2-class classification schema. Class 1 is Forest/Trees and Class 2 Non-forest/trees. Class 2 is set to white/transparent by default. Texture processing was applied to reduce mixed pixel values between tree canopy, healthy grass and agriculture land areas. These features have similar vegetation spectral response and would otherwise result in a significant number of misclassified pixels. In many areas however, agriculture and grass land areas containing higher texture values still resulted in mixed canopy pixels. We assume this introduces around a 5% error or misclassification rate.

The 2045 Land Use Map is based on the recommendations of Advance Apex: The 2045 Land Use Plan Map Update. The new plan supersedes Peak Plan 2030and was adopted by the Town of Apex Town Council on February 5, 2019. Advance Apex provides a snapshot of the Town’s vision for future land use as of the adoption date. All land use classification amendments approved by the Town Council following the original Map adoption are reflected on the 2045 Land Use Map and, therefore, make the 2045 Land Use Map a dynamic document. Amendment dates are listed in attribute table column TC_Approve.

Spatial Dataset used to display Colleges and Universities in Mecklenburg County, North Carolina. This dataset includes attributes such as name of the the college and the enrolment numbers.

© Data is collected and maintained by The Charlotte Mecklenburg Planning Department. This layer is a component of Dynamic_ISP_DataRemap.

This publication contains a georeferenced 1936 map of a control survey by the United States Coast and Geodetic Survey, the United States Geologic Survey, the United States Forest Service and other surveys. It was surveyed from 1933 to 1936 under the supervision of the Forest Supervisor. Four inch (4") field sheets were prepared from aerial and ground surveys and reduced at the regional office in Atlanta, GA. The map was traced in 1935 and 1936.This map indicates property ownership in Berkeley County, South Carolina in 1936 and includes the area of the Santee Experimental Forest (SEF).The map has been georeferenced so that other SEF spatial data can be overlaid on the map in a GIS program. The SEF is located in the southeastern portion of the map, as the rest of the ownership parcels are within Berkeley County.

This feature service is for viewing Brownfields projects content and is updated continuously. This data set shows Areas of Environmental Concern ("AEC") locations within Brownfields Project boundaries that have a recorded Notice of Brownfields Property or "NBP". The areas and locations shown in this feature set reflect those areas and locations identified on an NBP's associated recorded Plat map attached as Exhibit B to the Notice. However, please note that not all Brownfields Properties with a recorded NBP and Plat have an identified AEC within the Brownfields Property boundary.