You could also convert the rasters to points, join the points by location, and run the Ordinary Least Squares tool in Spatial statistics. Testing the significance of the coefficient in the linear model is the same as testing the correlation.
* First: I want to compare the relationship between modeled values and radar detected values in the two datasets. When using OLS is it correct to use the modelled values as "Dependent variables" and the radar detected values as "Explanatory variables"?
* Seccond: I also want to perform a binary test to find the spatial relationship between modelled clutter (1= Present, 0= Non- present) and the radar detected values (1= Present, 0= Non- present). Can I use OLS also for this purpose or should I use a different tool?
Convert Rasters to Points,
I use high resolution 30s global asc raster layers for maxent modeling. I need to remove correlated variables, but none of the tools worked due to memory problems (exceed python limits). can somebody advise me pl? when i used 10m as files it worked well. Can i check the correlated variables using 10m data and select variables and go for my 30s data for modeling? can somebody instruct me pl?