Contents

Lesson 2 Overview

In this lesson, we will learn how to handle spatial data in Python using Geopandas. Geopandas combines the power of Pandas to analyze tabular data, and Shapely for handling geometries. Furthermore, geopandas relies on other packages such as fiona for reading and writing files, pyproj for managing coordinate reference systems, and matplotlib for plotting.

In particular, we will learn how to read and write spatial data in Python, and to manipulate geometries in a GeoDataFrame. Furthermore, we will learn to re-project data between coordinate reference systems (crs).

Learning goals

After this week, you should be able to:

  • Read and write spatial data from/to common file formats

  • Conduct simple analysis on spatial and non-spatial data

  • Manage coordinate reference systems and re-project data

Sources

This lesson partly based on Geopandas documentation.

Lesson videos

Lesson 2.1 - Introduction to Geopandas

Vuokko Heikinheimo, University of Helsinki @ AutoGIS channel on Youtube.

Lesson 2.2 - Coordinate reference systems

Vuokko Heikinheimo, University of Helsinki @ AutoGIS channel on Youtube.

Lesson 2.3 - Intro to exercise 2

Vuokko Heikinheimo, University of Helsinki @ AutoGIS channel on Youtube.