Last week, I had the pleasure to give a movement data analysis workshop at the OpenGeoHub summer school at the University of Münster in Germany. The workshop materials consist of three Jupyter notebooks that have been designed to also support self-study outside of a workshop setting. So you can try them out as well!
All materials are available on Github:
- Tutorial 0 provides an introduction to the MovingPandas Trajectory class.
- Tutorials 1 and 2 provide examples with real-world datasets covering one day of ship movement near Gothenburg and multiple years of gull migration, respectively.
Here’s a quick preview of the bird migration data analysis tutorial (click for full size):
You can run all three Jupyter notebooks online using MyBinder (no installations required).
Alternatively or if you want to dig deeper: installation instructions are available on movingpandas.org
The OpenGeoHub summer school this year had a strong focus on spatial analysis with R and GRASS (sometimes mixing those two together). It was great to meet @mdsumner (author of R trip) and @edzerpebesma (author of R trajectories) for what might have well been the ultimate movement data libraries geek fest. In the ultimate R / Python cross-over, @robinlovelace even ported tutorial 0 to Rmd, so it can be run in RStudio: 0_getting_started.Rmd
Both talks and workshops have been recorded. Here’s the introduction:
and this is the full workshop recording:
This post is part of a series. Read more about movement data in GIS.