||I am currently using the Fixed Kernel Density Estimator in ArcMap to create utilization distributions for elk data that I am working with for my Masters work.
Can anyone tell me how to interpret the the "pixel values" that are created in the Kernel Raster? I specified a 10 meter raster cell size and also used a scaling factor of 100000000, which gave me pixel values from 0 to 21.2241. I also used a single smoothing parameter which was calculated using LSCV.
Am I incorrect to interpret these pixel cell values as a percentage probability? If I am correct, then the highest probability of use that I calculated within this particular home range is only 21%, which seems odd to me. I also feel that you should know that I am using GPS data, so I have a large amount of locations.
Finally, can anyone recommend an extension that calculates the Least Squares Cross Validation (smoothing parameter)? I am currently using the Animal Movements extension in ArcView to calculate that parameter (very time consuming), so I can input that value into the Hawth's Tools Kernel Estimator in ArcMap. Interestingly, when I compare these two rasters (ArcMap and ArcView), each with the same specified cell size and smoothing parameter, they do not seem to match in their probability distributions, so I am not sure if one is superior to the other in calculating these kernel densities.
Thanks so much for any help you may be able to give me.