We recently published a new paper on “Open Geospatial Tools for Movement Data Exploration” (open access). If you liked Movement data in GIS #26: towards a template for exploring movement data, you will find even more information about the context, challenges, and recent developments in this paper.
It also presents three open source stacks for movement data exploration:
- QGIS + PostGIS: a combination that will be familiar to most open source GIS users
- Jupyter + MovingPandas: less common so far, but Jupyter notebooks are quickly gaining popularity (even in the proprietary GIS world)
- GeoMesa + Spark: for when datasets become too big to handle using other means
and discusses their capabilities and limitations:
This post is part of a series. Read more about movement data in GIS.