I would like to perform regression on an environmental dataset. The covariates are in the following form
I realize that the 4 repeated measures for each region are dependent because they come from the same region. For this reason, a model with mixed effects should be used. I also suspect that the data is spatially and temporally correlated.
I am not sure what models I should try on my dataset first. I am open to anything from very advanced state-of-the-art models (preferred) to the more simple models that are taught in textbooks. I would appreciate suggestions from those that are familiar with spatio-temporal data.