I'm trying to build a model that will be run every year or so on data that will be regularly updated. I'm trying to do a proof of concept model that does a Kernel Density on a point file and then reclassifies the density map from 1 - 10 using an equal interval.
Unfortunately the reclassify tool does not seem to generate the classes on the fly each time the model is run. As a result when the point data changes (to give a higher maximum density) then there is an error or warning to say that the maximum value is out of range. When I open the Reclassify tool to check the classifications, the classification method has returned to Manual and the classes have changed.
Is there a way to have the Reclassify tool generate the equal interval classes based on the newly calculated input raster that may have a different minimum/maximum value???