five

[SAMPLE] GeoPostcodes Geospatial Data | Global Map data | Postal/Administrative boundaries | ...

收藏
Databricks2024-06-15 收录
下载链接:
https://marketplace.databricks.com/details/912a147a-705a-4874-a19c-0db6d7cb3887/GeoPostcodes_SAMPLE-GeoPostcodes-Geospatial-Data-Global-Map-data-Postal/Administrative-boundaries-
下载链接
链接失效反馈
官方服务:
资源简介:
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 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 (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.
提供机构:
GeoPostcodes
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集提供全球行政和邮政边界的地理空间数据,包含高达6个精度级别的无缝层次结构多边形,适用于空间分析、地理围栏等多种应用场景。数据以高精度形状和快速加载多边形为特征,支持多语言,并兼容Esri ArcGIS、Snowflake等主流系统,可导出为.shp、.geojson等多种格式。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务