Overview
Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.
Our self-hosted GIS data cover administrative and postal divisions with up to 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.
The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.
Use cases for the Global Boundaries Database (GIS data, Geospatial data)
In-depth spatial analysis
Clustering
Geofencing
Reverse Geocoding
Reporting and Business Intelligence (BI)
Product Features
Coherence and precision at every level
Edge-matched polygons
High-precision shapes for spatial analysis
Fast-loading polygons for reporting and BI
Multi-language support
For additional insights, you can combine the GIS data with:
Population data: Historical and future trends
UNLOCODE and IATA codes
Time zones and Daylight Saving Time (DST)
Data export methodology
Our geospatial data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson
All GIS data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.
Why companies choose our map data
Precision at every level
Coverage of difficult geographies
No gaps, nor overlaps
Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.
World Continents represents the boundaries for the continents of the world. It provides a basemap layer of the continents, delivering a straightforward method of selecting a small multicountry area for display or study.This layer is best viewed out beyond a scale of 1:3,000,000. The original source was extracted from the ArcWorld Supplement database in 2001 and updated as country boundaries coincident to regional boundaries change. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World Continents.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The North Carolina State and County Boundary vector polygon data provides location information for North Carolina State and 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 in North Carolina and neighboring states that have been approved and recorded in their respective counties. North Carolina Geodetic Survey assists counties on a cooperative basis (NC General Statute 153A-18) in defining and monumenting the location of uncertain or disputed boundaries as established by law. Some counties have completed boundary surveys for at least a portion of their county boundary. However, the majority of county boundaries have not been surveyed and are represented by the best currently available data from GIS sources, including NCDOT county maps (which originally came from the USGS) and updated county parcel maps.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
School District Polygons within Suffolk County, NY.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Building footprints from an aerial fly over.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Airport name and owner information is included in the attributes.
Michigan Lake PolygonsMore Metadata
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This vector dataset provides polygons that represent significant golf course facility locations in Suffolk County. These courses can be publicly (State, County, Town, Village) or privately owned. This dataset can be linked with the GolfCoursePoint feature class by the FACILITYID field. In some cases, there may be multiple Golf Course Points for a single Golf Course Polygon. These data are organized for consumption in desktop and web applications.
Data available online through the Arkansas Spatial Data Infrastructure (http://gis.arkansas.gov). Arkansas Cities: This data set contains all of the city limit boundaries within the state of Arkansas. These boundaries were developed by the staff in the Mapping Section of the Arkansas State Highway and Transportation Department with the exception of Benton and Washington Counties. Benton and Washington County officials have provided the city limits for their respected cities. All boundaries were digitally plotted from legal descriptions obtained from the city itself or through the Arkansas Secretary of State's Office.
Data was digitized from 1:31,680 mylar overlays of mylar orthophoto quads using ARC/INFO. Data available from the United States Department of Agriculture Forest Service.
Note: This is a large dataset. To download, go to ArcGIS Open Data Set and click the download button, and under additional resources select the shapefile or geodatabase option. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents activities of hazardous fuel treatment reduction that are polygons. All accomplishments toward the unified hazardous fuels reduction target must meet the following definition: Vegetative manipulation designed to create and maintain resilient and sustainable landscapes, including burning, mechanical treatments, and/or other methods that reduce the quantity or change the arrangement of living or dead fuel so that the intensity, severity, or effects of wildland fire are reduced within acceptable ecological parameters and consistent with land management plan objectives, or activities that maintain desired fuel conditions. These conditions should be measurable or predictable using fire behavior prediction models or fire effects models. Go to this url for full metadata description: https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_HazFuelTrt_PL.xml
https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/
This provides a polygon coastline and islands layer which is based on the Topo50 products. It is a combination of the following layers:
This topographic coastline is the line forming the boundary between the land and sea, defined by mean high water.
Islands from the NZ Island Polygons layer that lie within the NZ Coastline and Chatham Islands areas (i.e. islands in lakes, rivers and estuaries) have been removed.
The GIS workflow to create the layer is:
For more detailed description of each layer refer to the layer urls above.
APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services ArcGIS REST API
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
GIS spatial data for Listed Buildings, part of the National Heritage List for England. Polygons are available for listed buildings listed or substantively amended since 4th April 2011.
Listing marks and celebrates a building's special architectural and historic interest, and also brings it under the consideration of the planning system, so that it can be protected for future generations.
Data updated frequently.
This is a publicly available map image service with limited GIS attributes. A downloadable version of this data is now available through the MDOT GIS Open Data Portal: Download MDOT SHA Right-of-Way Polygons (Open Data Portal) The following related versions of this data are available here:MDOT SHA Right-of-Way (Secured)Line dataFull attribute tableAccessible to only MDOT employees and contractors upon requestMDOT SHA Right-of-Way (Map Image Service)Read-only map serviceLine dataLimited attributes (quality level)Accessible to publicMDOT SHA Right-of-Way data is a composite layer of PSD field-collected survey sources, PSD in-house computations, traced PSD hardcopy materials, and historical Maryland Department of Planning (MDP) parcel boundaries.This data product was intended to replace MDOT SHA Planning Level Right-of-Way (Tax Map Legacy), which is an increasingly obsolete legacy product for MDOT SHA Right-of-Way information that in some areas remains the most comprehensive. For continuity, many MDP parcel boundaries found in MDOT SHA Planning Level Right-of-Way (Tax Map Legacy) have been incorporated into MDOT SHA Right-of-Way data with an "Estimated" quality level. Please see below for a description of the primary attribute.-----------------------------------------------------The polygons in this layer are divided into 318 arbitrary grid zones across the State of Maryland. Updates to the parent ROW boundary line data set [MDOT SHA Right-of-Way (Secured)] are made by grid and reflected in this polygon layer.For more information or to report errors in this data, please contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov
https://creativecommons.org/licenses/publicdomain/https://creativecommons.org/licenses/publicdomain/
https://spdx.org/licenses/CC-PDDChttps://spdx.org/licenses/CC-PDDC
Geographic Information System (GIS) analyses are an essential part of natural resource management and research. Calculating and summarizing data within intersecting GIS layers is common practice for analysts and researchers. However, the various tools and steps required to complete this process are slow and tedious, requiring many tools iterating over hundreds, or even thousands of datasets. USGS scientists will combine a series of ArcGIS geoprocessing capabilities with custom scripts to create tools that will calculate, summarize, and organize large amounts of data that can span many temporal and spatial scales with minimal user input. The tools work with polygons, lines, points, and rasters to calculate relevant summary data and combine them into a single output table that can be easily incorporated into statistical analyses. These tools are useful for anyone interested in using an automated script to quickly compile summary information within all areas of interest in a GIS dataset
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Polygons and owner information of airports in Suffolk County, NY.
Polygon representation of rivers, lakes, and ponds in Jackson County.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This dataset accompanies Open File Report 2009-02. Between 1971 and 1983, the Alberta Research Council created a series of hydrogeological maps of Alberta. The geologists examined the sediment types present and used existing water well information to assign yield values to distinct zones within the mapped areas. They also looked at the materials, generally to a depth of 305 metres (1000 feet) below ground surface, and added the yields of the sediments encountered within this interval to arrive at a yield value for the whole. Alberta Geological Survey compiled the shapefiles for the yield polygons, digitized by the Prairie Farm Rehabilitation Agency, and then digitized the remaining linework for the remaining map areas. Afterwards, we created a geodatabase of the yield polygons for the entire province and assigned yield values to the polygons based on the original maps. We also assigned the most likely formation name, age and lithology to the yield polygon.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
View full metadata https://www.cambridgema.gov/GIS/gisdatadictionary/Basemap/BASEMAP_Roads
About Edit Dates This data is automatically updated on a set schedule. The Socrata edit date may not reflect the actual edit dates in the data. For more details please see the update date on the full metadata page or view the edit date within the data rows.
City of Cambridge, MA GIS basemap development project encompasses the land area of City of Cambridge with a 200 foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
For more information on the Pine Barrens visit https://pb.state.ny.us/central-pine-barrens/overview/ and https://pb.state.ny.us/our-work/our-work/land-use-project-review/development-application-process/.
Overview
Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.
Our self-hosted GIS data cover administrative and postal divisions with up to 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.
The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.
Use cases for the Global Boundaries Database (GIS data, Geospatial data)
In-depth spatial analysis
Clustering
Geofencing
Reverse Geocoding
Reporting and Business Intelligence (BI)
Product Features
Coherence and precision at every level
Edge-matched polygons
High-precision shapes for spatial analysis
Fast-loading polygons for reporting and BI
Multi-language support
For additional insights, you can combine the GIS data with:
Population data: Historical and future trends
UNLOCODE and IATA codes
Time zones and Daylight Saving Time (DST)
Data export methodology
Our geospatial data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson
All GIS data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.
Why companies choose our map data
Precision at every level
Coverage of difficult geographies
No gaps, nor overlaps
Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.