# Spatial join with dataframes

**URL:** <https://discourse.julialang.org/t/spatial-join-with-dataframes/93241>\
**Category:** General Usage\
**Tags:** dataframes, geo\
**Created:** [January 20, 2023, 1:07am UTC](https://discourse.julialang.org/t/spatial-join-with-dataframes/93241 "2023-01-20T01:07:03Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![rocco\_sprmnt21](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rocco_sprmnt21/32/20127_2.png) [@rocco\_sprmnt21](https://discourse.julialang.org/u/rocco_sprmnt21)\
**Post date:** [January 20, 2023, 10:55am UTC](https://discourse.julialang.org/t/spatial-join-with-dataframes/93241/5 "2023-01-20T10:55:56Z")

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I don’t know if this will help

> [@Efficiently check if points are contained in polygons](https://discourse.julialang.org/t/efficiently-check-if-points-are-contained-in-polygons/74415/15):
>
> To clarify, Rasters.jl polygon ops are also pure julia via PolygonInbounds.jl and other internal code. It’s pretty fast for vectors of points, but not so much for single points. Its very fast for rasterize because the points of a raster are already sorted. (Rasters.jl only uses GDAL for loading some file types, because GDAL has so many and is reliable, and for warping and reprojecting, because projection formats are hard)

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