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This usually works: from arcpy import env env.overwriteOutput = True env.workspace = outFolder raster_obj=FocalStatistics(raster, neighborhood, 'MAXIMUM', "DATA") raster_obj.save("outZ") del raster_obj ExtractValuesToPoints(in_point_features, outFolder+os.sep+"outZ", out_point_features)


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Just use the ArcGIS raster calculator with a CON statement. CON(("h2005" - "h2015") >= 30, 1, 0) This will result in a binary raster where [1] represents differences of >= 30m and [0] no change at this threshold. And yes, set your analysis environment for extent and snap raster.


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There are number of tools from GRASS and SAGA which allows for cost analysis which you can access from the Processing Toolbox:


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In case someone is interesting to accomplish this task, without needing it to be in ArcGIS for Desktop. In R, there is the automap package, function autoKrige. The new_data argument, which indicates where the interpolation will happen, accepts points (besides grid and polygons). The manual says: new_data: a sp object containing the prediction ...



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