Geospatial data analysis has become an integral part of data analysis. Whether in urban planning, transportation analysis, or environmental science, geospatial data plays a key role.
This article will provide a detailed guide for beginners and novices to perform geospatial data analysis using Python’s Pandas library and Geopandas library.
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Processing geographic coordinate data with Pandas
Before we begin we first need some geographical coordinate data. Here we will use relevant data from the "Three Kingdoms" game for simulation. Suppose there is a table that records the names of major cities in the Three Kingdoms era and their latitude and longitude.
| City | longitude | latitude |
|---|---|---|
| Xiangyang | 112.1 | 32.0 |
| Luoyang | 112.4 | 34.6 |
| Jianye | 118.7 | 32.0 |
To read geographical coordinate data , you need to use the Pandas read_csvfunction to read this table.