Introduction to geospatial data analysis with GeoPandas
08-30, 10:30–12:00 (Europe/Zurich), HS 120

This tutorial is an introduction to geospatial data analysis, with a focus on tabular vector data using GeoPandas. It will show how GeoPandas and related libraries can improve your workflow (importing GIS data, visualizing, joining and preparing for analysis, exploring spatial relationships, …).


This tutorial is an introduction to geospatial data analysis in Python, with a focus on tabular vector data using GeoPandas. The content focuses on introducing the participants to the different libraries to work with geospatial data and will cover munging geo-data and exploring relations over space. This includes importing data in different formats (e.g. shapefile, GeoJSON), visualizing, combining and tidying them up for analysis, and will use libraries such as pandas, geopandas, shapely, pyproj, matplotlib, folium, …

Please find the material and installation instructions at https://github.com/jorisvandenbossche/geopandas-tutorial


Abstract as a tweet

Introduction to geospatial data analysis with GeoPandas and the PyData stack

Project Homepage / Git

https://geopandas.org

Domains

Open Source Library

Expected audience expertise: Domain

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Expected audience expertise: Python

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