Disclosure: I am an MSc student in economics, but not an expert by any means in OR.
I am trying to model a spatial MIP problem of an invasive species similar to this academic paper, however, my problem differs in that it models the control of a forest pest moving throughout an $i \times j$ grid killing trees and facing management control constraints. I am using Python and the CPLEX Solver to model and solve my problem.
Conceptually what happens in my problem is that the beetle population moves throughout the gridded landscape and kills a proportion of trees in a cell, but in each time period there is a chance that the beetles will be detected and possibly eradicated. The wall that I am having difficulty in understanding is how you would go about bringing in a spatial element into the problem.
I have found some examples of MIP problems that revolve around production decisions, but I have not found any problems that incorporate a spatial grid element in the development of the problem. I have typed phrases such as the following in Google with no prevail of finding examples remotely similar (many academic articles do not release code, so that sucks):
"CPLEX spatial optimization Python" "Python Bioeconomic Optimization" "CPLEX Cellular Automata optimization" ... I have a hunch my search terms are not optimal...
So I am hoping that someone might be able to point me towards information regarding spatially explicit MIP problems. I apologize if this is not appropriate for the forum, I just don't really know where else to turn to.