GeoPostcodes Geospatial Data | Global Map data | Postal/Administrative boundaries | Global coverage | 880k Polygons | Postal/Zip code areas
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https://datarade.ai/data-products/geopostcodes-boundary-data-global-coverage-880k-polygons-geopostcodes
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资源简介:
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 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure for accurately mapping the world at any scale. Our topological model is complimented by a dedicated algorithm to establish spatial relationships, ensuring: - No gaps or overlaps - No duplicate data thanks to mutualized edges - Clean coastlines and borders The geospatial data sheps 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) - In-depth spatial analysis - Clustering - Geofencing - Reverse Geocoding - Reporting and Business Intelligence (BI) * Data export methodology Our location data packages are offered in variable formats, including shp, .gpkg, .kml, .shp, .gpkg, .kml, and .geojson. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. * Additional features - Population data: Historical and future trends - Coherence and precision at every level - Edge-matched polygons - High-precision polygons for spatial analysis - Fast-loading shapes for reporting and BI - Multi-language support - UNLOCODE and IATA codes - Time zones and Daylight Saving Time (DST) * Why companies choose our map data - Precision at every level - 100+ successful integrations - Coverage of difficult geographies Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.
提供机构:
GeoPostcodes
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供全球邮政编码和行政边界的精确地理空间数据,包含88万个多边形区域,支持多种格式输出及多种地理分析应用。数据具有高精度、无重叠和缝隙的特点,并附带人口统计和多语言支持等扩展功能。
以上内容由遇见数据集搜集并总结生成



