These are the slides for my talk at PyCon India 2019.
The talk is about joining geo-spatial data, and explains why this is useful, how you can do it, and what else is possible.
- If you're tweeting:
- My Twitter ID is @sanand0
- The PyCon India hashtag is #PyConIndia2019
- The talk mentions an article in The Hindu about the Muslim vote
- The analysis uses geospatial joins using the reshaper library using
merge.py- This internally uses geopandas
- QGIS is a powerful GUI tool to process shapefiles
- Here's a tutorial on creating Voronoi polygons in QGIS. This lets you create regions from addresses or locations
- You can search for India maps on the Datameet Google group
- Have ideas? If you have suggestions on useful geo-spatial joins to explore, raise an issue. Let's crowd-source and find out which geo-joins are useful
- Want to try it? Build your portfolio?
- Search for maps on Datameet
- Find reshaper at reshaper library
- Share on Twitter, tag @sanand0. I’ll share it with media
- Want to learn or contribute?
- Email me at s.anand@gramener.com
- I'll mail you details of the next workshop on geo-spatial joins
