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I'd argue that being able to use sql to more easily combine ans filter datasets, including non-geospatial ones is still very useful in the circumstances you des
by jimktrains2 6y ago
I'd argue that being able to use sql to more easily combine ans filter datasets, including non-geospatial ones is still very useful in the circumstances you described.
- stdbrouw 6y agoNot really, combining datasets in (Geo)Pandas is very straightforward, including spatial joins: https://geopandas.org/docs/user_guide/mergingdata.html#spatial-joins https://geopandas.org/docs/user_guide/mergingdata.html#spati... Of course, it's all a matter of personal preference, but I have used both PostGIS and GeoPandas extensively.
- thornygreb 6y agoYou will eventually run out of memory or some other restraint given large enough datasets. PostGIS will churn through it and not crash...