I have three 'variables':
- 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).
- Slope (standard slope raster)
- 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?