# Creating prediction map by combining several rasters and vectors in ArcGIS Desktop?

I have three 'variables':

1. 6000 GPS points that represent where my focal species (a carnivore) is present. Attached to these points is one value representing the activity level of the animal at the time (it ranges between 0 and 200, thus 0 being inactive and 200 being very active).
2. Slope (standard slope raster)
3. NDVI (also raster)

I ran a GLMM in R Studio, and the fixed effects show that as NDVI and Slope decrease, activity decreases. This is important because it may also help with an additional analysis to assess areas of risk for my other focal species (an herbivore that also happens to be a prey species of my focal carnivore).

I am curious that given such a relationship (between activity points, NDVI, and Slope) whether it is possible to map out 'hotspots of activity' throughout the landscape while accounting for NDVI and Slope as a means to create a 'risk map' or 'probability of activity map' (same thing in this context)

I have been reading about several methods including kriging, hotspot analysis, Residual trend mapping, etc. but I am afraid that I am still unsure whether either of these methods are the right way to go (probably because I am still relatively new when it comes to GIS).

Would anyone be able to provide some advice on how to carry on with this?

• I think you should start by turning the 6000 points to a raster surface with the activity level as the raster value. After all, your carnivores are a continuos surface and not discrete data, they don't appear and disappear like magic. Commented Jun 29, 2017 at 23:56
• Then, with the 3 raster you would be able to start doing map algebra and spatial statistics. Commented Jun 29, 2017 at 23:58
• thank you for your advice, when you mean map algebra, do you mean taking the fixed effects from the GLMM that I ran and plugging it into the raster calculator? (i.e. ndvi*.304+slope*123 etc.) or do you mean a different method. If so, I am not sure whether that would account for the actual activity points. Commented Jun 30, 2017 at 9:52
• Thank you! Yes, that's what I meant. You would like to test the similarities between the three surfaces as you were saying. Commented Jun 30, 2017 at 15:24
• Different methods to compare raster are listed here: researchgate.net/post/How_to_statistically_compare_two_maps Commented Jun 30, 2017 at 15:25