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Home Page: http://hackmap.blogspot.com/2010/05/numpy-gdal-agoodle.html
numpy + GDAL == agoodle
Home Page: http://hackmap.blogspot.com/2010/05/numpy-gdal-agoodle.html
This tool is in the process of rocking my world, but is there any plan to support continuous data instead of categorical?
The landsummary example is straightforward with its summary output for land cover classes, but I'm interested in using agoodle to pull out polygon-queried stats (min, max, mean, maybe binned classes) from interpolated coverages like elevation and soil chemistry. As it stands, passing a continuous coverage to agoodle results in a near-hangup on the last line of code as it tries to print all the unique values found. Would it be as easy as switching the type of request in numpy?
In any case, thanks for developing this sucker. It's a fantastic resource!
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