Web Reference: A spatial join matches rows from the Join Features values to the Target Features values based on their relative spatial locations. By default, all attributes of the join features are appended to attributes of the target features and copied to the output feature class. Spatial join with Python # Now as we have learned the basic logic of spatial join, let’s see how we can do it in Python. Spatial join can be done easily with geopandas using the .sjoin() method. There are four types of spatial joins: outer join, inner join, left join, and right join. These spatial join types determine which features from both datasets are kept in the resulting output dataset.
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