Exploring Geospatial Data Visualization Based on Python

Nan Hu, Xianwei Meng, Hui Liu, Yuchun Li
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Abstract

OpenStreetMap (OSM), as a typical representative of crowdsourced geographic information data, covers a large amount of open source geographic information data, which provides freely editable world-class geographic data for realizing information mining, analysis and visualization of geospatial data. Based on the geographic information data from the official website of OSM, this paper uses Python's geographic information data processing technology, geospatial data visualization technology and layer overlay method based on vector data analysis algorithm to realize visualization and information annotation of various types of geospatial data, providing reliable data processing, visualization and analysis methods for domestic resource exploration, transportation, epidemic prevention and control and other fields.
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探索基于Python的地理空间数据可视化
OpenStreetMap (OSM)作为众包地理信息数据的典型代表,覆盖了大量的开源地理信息数据,为实现地理空间数据的信息挖掘、分析和可视化提供了可自由编辑的世界级地理数据。本文以OSM官方网站的地理信息数据为基础,利用Python的地理信息数据处理技术、地理空间数据可视化技术和基于矢量数据分析算法的分层叠加方法,实现了各类地理空间数据的可视化和信息标注,为国内资源勘探、运输、疫情防控等领域。
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