How To EASILY Merge Geospatial Data in GeoPandas скачать в хорошем качестве

How To EASILY Merge Geospatial Data in GeoPandas

In this tutorial, you’ll learn how to join two different datasets into a single GeoDataFrame using Python. We work with a shapefile containing spatial boundaries and a CSV file with population data, and use Pandas and GeoPandas to merge them correctly based on a common ID field. This is a step-by-step Python GIS workflow where you’ll see how to: 1. Load shapefiles using GeoPandas 2. Read and clean CSV data using Pandas 3. Create and align join keys between datasets 4. Perform an attribute join between spatial and tabular data 5. Validate the joined GeoDataFrame 6. Export the final dataset as a GeoJSON file for use in web mapping applications (Leaflet, React Leaflet, Mapbox, etc.) By the end of this video, you’ll have a solid understanding of how spatial and non-spatial data are combined in Python, a core skill for GIS analysts, geospatial developers, and data scientists. Download Python: https://www.python.org/downloads/ Udemy Course: https://www.udemy.com/course/google-e...