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Simple Functions for spatial interpolation using machine learning
Change the write_contours routine to return a geodataframe so the user can chose to write it out or maybe clip it.
Maybe just have a different function, like "get_contours" that does it instead
I have a script with some commonly used GIS utilities that I want to bring in with something like
from skspatial import utils
Or something like that.
currently using pykrige's ordinary kriging for 2d interpolation, but I want to make it easy for a user to use
flopy stopped supporting spatial reference:
this is used to assign matplotlib contours to a spatial reference by treating an array as a model layer. This is rather hacky and the plan is to just write something that can pull vertices from matplotlib contours and create shapefiles without depending on flopy
when user inputs ulc and lrc, the output raster does not match up with the points.
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