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Basic geoprocessing in python

In this repository you'll find some common techniques that we use for managing geospatial datasets.

  • merge: Sometimes we have a dataset with information of our inteest and want to represent it spatially, in a map. In this folder you'll learn how to merge the information contained in a csv with a shapefile, using a common name. For this example, I used a shapefile of the counties of São Paulo and a csv with the historical sugarcane yield (2016-2020). I merged both datasets by their common column: the countie's numerical code.
  • centroids: Extract the central coordinates (latitude and longitude in SIRGAS 2000) of each county from the state of São Paulo. The shapefile used is the same hosted in the merge folder.
  • clipping: Examples of how to clip, mask or crop a raster stack using the geometries of a shapefile. In this example, I had a raster stack with 19 climatic variables for the entire planet dowloaded from the WorldClim platform. I wanted just the pixel covering the São Paulo State, and therefore, I used a shapefile to clip it.
  • Polygon to raster: Transform a shapefile into a raster, using another raster as example.

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