Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover postal divisions for the whole world. 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 (Geospatial data, Map data, Polygon daa)

• 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 map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial 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.

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover administrative and postal divisions with up to 5 precision 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 Administrative Boundaries Database (Geospatial data, Map 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 map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial 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.

Street right of way polygons are public spaces along the DC managed street segments. A database provided by DDOT identified ROW locations from authoritative source documentation including DDOT surface maps, ROW distribution cards, Subdivision Books in the DC Surveyor's Office, Survey Books, King Plats, Record Books, Street Extension Maps, County Maps, AT Map Books, Wall Books and Wall Reports.

Dataset from Singapore Land Authority. For more information, visit https://data.gov.sg/datasets/d_29f066d67df3eae91df8a42f443863c8/view

Extensive polygon dataset for marinas across the US and Canada. Includes custom-drawn boundaries and precise location information. Valuable for marine industry analysis, recreational planning, and coastal development projects.

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

This specialized location dataset delivers detailed information about marina establishments. Maritime industry professionals, coastal planners, and tourism researchers can leverage precise location insights to understand maritime infrastructure, analyze recreational boating landscapes, and develop targeted strategies.

How Do We Create Polygons?

-All our polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery, satellite data, and street-level views to ensure precision. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official company websites to construct highly detailed polygons. This meticulous process ensures maximum accuracy and consistency. -We verify our polygons through multiple quality assurance checks, focusing on accuracy, relevance, and completeness.

What's More?

-Custom Polygon Creation: Our team can build polygons for any location or category based on your requirements. Whether it’s a new retail chain, transportation hub, or niche point of interest, we’ve got you covered. -Enhanced Customization: In addition to polygons, we capture critical details such as entry and exit points, parking areas, and adjacent pathways, adding greater context to your geospatial data. -Flexible Data Delivery Formats: We provide datasets in industry-standard GIS formats like WKT, GeoJSON, Shapefile, and GDB, making them compatible with various systems and tools. -Regular Data Updates: Stay ahead with our customizable refresh schedules, ensuring your polygon data is always up-to-date for evolving business needs.

Unlock the Power of POI and Geospatial Data

With our robust polygon datasets and point-of-interest data, you can: -Perform detailed market and location analyses to identify growth opportunities. -Pinpoint the ideal locations for your next store or business expansion. -Decode consumer behavior patterns using geospatial insights. -Execute location-based marketing campaigns for better ROI. -Gain an edge over competitors by leveraging geofencing and spatial intelligence.

Why Choose LocationsXYZ?

LocationsXYZ is trusted by leading brands to unlock actionable business insights with our accurate and comprehensive spatial data solutions. Join our growing network of successful clients who have scaled their operations with precise polygon and POI datasets. Request your free sample today and explore how we can help accelerate your business growth.

Northeastern United States State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

Data available online through the Arkansas Spatial Data Infrastructure (ASDI) at http://gis.arkansas.gov. The subject file represents the Arkansas portion of areas to be submerged derived from 1:100,000-scale (""intermediate-scale"") Digital Line Graph data created by the USGS. Digital Line Graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1:100,000 are used. Intermediate-scale DLG's are broken down into five categories: 1. Public Land survey, 2. boundaries, 3. transportation 4. hydrography, and 5. hypsography.

United Nations map (known as UNmap) is a worldwide geospatial database consisting of country and geographic name information on a global scale. The data is designed for the production of cartographic documents and maps, including their dissemination via public electronic networks, for the Secretariat of the United Nations.The United Nations maintains the Data as a courtesy to those who may choose to access the Data. The Data is provided “as is”, without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose and non-infringement.

Disclaimers: - The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. - The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. - Dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. - The final status of Jammu and Kashmir has not yet been agreed upon by the parties. - Final boundary between the Republic of Sudan and the Republic of South Sudan has not yet been determined. - Final status of the Abyei area is not yet determined. - A dispute exists between the Governments of Argentina and the United Kingdom of Great Britain and Northern Ireland concerning sovereignty over the Falkland Islands (Malvinas).

Generalization parametrisation for the data is developed based on the work of Douglas and Peucker (1973), Wang (1996) and the Polynomial Approximation with Exponential Kernel algorithm.The adequate generalized data should be used for the intended dissemination scale and not rely on software or platform-automated generalization as some specific geographic features are removed at scales. For instance, the region of Abyei is not included at the scale of 1:25 million but is included at lower scales.

Maps produced using this layer should be featured with the appropriate disclaimer depending on the shown area.

Source: United Nations International and Administrative Boundaries Resources

Iowa DOT project data from Project Scheduling System (PSS) data.

Parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given tax assessment account are maintained by SDAT and incorporated with parcel boundaries and other ancillary information maintained by the Montgomery County Planning Department.For more information about the fields and attributes in the dataset, see the data dictionary.For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

A relatively permanent walled and roofed construction.

Data Dictionary for building_poly: https://docs.topo.linz.govt.nz/data-dictionary/tdd-class-building_poly.html

This layer is a component of the Topo50 map series. The Topo50 map series provides topographic mapping for New Zealand and it's offshore dependancies, at 1:50,000.

Further information on Topo50: http://www.linz.govt.nz/topography/topo-maps/topo50

California's Coastal Zone generally extends seaward to the state's outer limit of jurisdiction, including all offshore islands, and inland to approximately 1,000 yards from the mean high tide line (MHTL) of the sea, or in significant coastal estuarine, habitat, and recreational areas to the first major ridgeline paralleling the sea or five miles from the mean high tide line of the sea, whichever is less. In developed urban areas the zone generally extends inland less than 1,000 yards. This data set represents the landward boundary of California's Coastal Zone. Public Resources Code (PRC) Section 30103(a) specifically defines California's Coastal Zone as that land and water area of the State of California from the Oregon border to the border of the Republic of Mexico depicted on maps identified and set forth in Section 17 of that chapter of the Statutes of the 1975-76 Regular Session enacting PRC Division 20 (the Coastal Act of 1976). PRC Section 30103(b) directed the Coastal Commission to prepare and adopt more detailed 1:24,000 scale Coastal Zone Boundary (CZB) maps, which occurred March 1, 1977. These 161 adopted maps provide the official basis for all other representations of the landward CZB. The digital version of the CZB created by developing this shapefile is a conformed copy of the official boundary, and in some locations reflects legislative changes and Coastal Commission minor adjustments adopted from time to time since March 1977.

Section 30103 of the Coastal Act:

Coastal zone; map; purpose (a) "Coastal zone" means that land and water area of the State of California from the Oregon border to the border of the Republic of Mexico, specified on the maps identified and set forth in Section 17 of Chapter 1330 of the Statutes of 1976, extending seaward to the state's outer limit of jurisdiction, including all offshore islands, and 11 extending inland generally 1,000 yards from the mean high tide line of the sea. In significant coastal estuarine, habitat, and recreational areas it extends inland to the first major ridgeline paralleling the sea or five miles from the mean high tide line of the sea, whichever is less, and in developed urban areas the zone generally extends inland less than 1,000 yards. The coastal zone does not include the area of jurisdiction of the San Francisco Bay Conservation and Development Commission, established pursuant to Title 7.2 (commencing with Section 66600) of the Government Code, nor any area contiguous thereto, including any river, stream, tributary, creek, or flood control or drainage channel flowing into such area.

Note that the California's State Waters limit, which generally is 3 nautical miles [5.6 km] from shore, extends farther offshore (as much as 12 nautical miles) between Santa Cruz and Monterey, so that it encompasses all of Monterey Bay.

This data set consists of ground control polygons used for model training and evaluation (ground_control_polygons.gpkg): This dataset consists of refined vegetation polygons digitized across the island of Lāna‘i representing the 15 land cover classes of interest. High-resolution aerial imagery and extensive field experience were used to iteratively collect and improve the polygons through expert review and interpretation. The polygons were divided into a 250m grid overlaying the island to balance sample size and spatial resolution while reducing spatial autocorrelation, resulting in 1,754 smaller polygons. These polygon data served as the primary dataset used to train, validate, and evaluate the classification models through cross-validation. An iterative collection process aimed to achieve satisfactory model accuracy across all classes prior to final model selection and island-wide mapping.

This 1:250000 soil map of Mexico is the result of a combination of three INEGI open-access datasets: The Series II soil units’ vectorial map is a nationwide polygon map delineating the soil groups at scale 1:250 000. It uses the World Reference Base for Soil Resources (WRB) to classify soils, and holds 63794 polygons. The Series I soil profiles data is a compendium of 9537 soil profiles collected between 1980 and 1998 all around Mexico. The Series II soil profiles data is a compendium of another 4418 soil profiles collected between 2002 and 2006 in the whole country. It consists of a polygon map of 2257 soil units of which 1498 are characterized with 9 attributes of soil functional properties.

Lands conveyed to the State of Alaska with a variety of cases such as general purpose, expansion of communities, University of Alaska, and recreational purposes. This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Ownership - State Owned, Managed - State Tentatively Approved or Patented category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction. Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://dnr.alaska.gov/projects/las/ Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

Northeastern United States Town Boundary data are intended for geographic display of state, county and town (municipal) boundaries at statewide and regional levels. Use it to map and label towns on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

This feature class contains 377,323 polygon features representing Tax Map Keys (TMKs) for the state of Hawaii. These features are incorporated in the US EPA Region 9 Hawaii Wastewater Mapping application, a user interface mapping tool to help manage the Large Capacity Cesspool Program compliance and outreach efforts and assist with inspection targeting in Hawaii. The application can be found on the EPA GeoPlatform at:"https://epa.maps.arcgis.com/apps/webappviewer/index.html?id=afd05fc3ab2347b2bcc63c5c20f59926" https://epa.maps.arcgis.com/apps/webappviewer/index.html?id=afd05fc3ab2347b2bcc63c5c20f59926

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.