I want to assess local most important predictors for a specific event within a region. The same locations (grid) were all sampled in two different time occasions. I am assuming predictors to be spatially varying, but temporally stationary. The problem is that distance matrix calculation fails to run due to duplicate locations. Is there a way to carry this "atemporal" GWLR, or a workaround, interpreting the two different regression analyses as a global model?

I am running GWmodel, in R.

closed as unclear what you're asking by Spacedman, whyzar, Vince, Jochen Schwarze, LaughU Feb 12 at 11:12

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    Can you make a minimal reproducible example using, perhaps, sample data? It is very useful for us to be able to replicate your error message. – Spacedman Feb 11 at 16:16