Open-source Python tools to visualize and analyse ... with Samweli Mwakisambwe
summary
Claims that QGIS as a Python package installs from conda and links to a Django backend, demonstrating a working Django API hosting QGIS that runs existing QGIS plugin logic remotely for land‑cover change processing. Uses Postgres/PostGIS, GeoServer, GeoNode, rasterio (rio), GeoPandas, and Plotly; shows NDVI and public‑transit examples and an Alaska sample, and uses QGIS Temporal Controller for time-based visualization. Main friction is sparse documentation early on.
AI-written summary · about
chapters (14)
- 0:00Open-source geospatial tools intro
- 1:26Geospatial ecosystem overview
- 3:11Key geospatial services
- 4:57Python tools for analysis
- 6:02Rio: Read & visualize data
- 7:35GeoPandas: Handle formats
- 9:05QGIS: Desktop mapping
- 10:31QGIS features & temporal controller
- 11:56Visualization examples
- 12:41Integrate tools with Jupyter
- 13:25Q&A: QGIS & Jupyter
- 14:51Q&A: Work insights & Django
- 17:42Q&A: GeoDjango advantages
- 18:45Q&A: Folium vs open-source
related talks
27mUsing Python and PyQgis to make cool maps
41mHow to GIS with Python
29mGeospatial Analysis using Python
01mA Practical Introduction to Geospatial Python
37mSpatial Data Analysis With Python
45mThe life of open source spatial with QGIS - From hobby to grown up, with bonus growing pains
30mSpatial data and GeoDjango
30mGeospatial analysis made easy with PostGIS and Geoalchemy