test correlations of lsp/rsp and rw/rsp #48
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* generate affinity matrix from geometries * refactor and document, and sensitivity * sensitivity and other movment modes * renames * return missing methods * fix RW algorithm * reorganise documentation for new package structure * more docs * jet * docs and examples * tests * passing tests * bugfix jet * docs and tests * reorganise files * move moving files * quarto docs * working notebooks * notebook fixes * more notebook work * ConnectedHabitat -> FunctionalHabitat * renames * reorganise for finalize step * add brams calibration step * bugfixes * ConScapeProblem * transition -> step * passing tests * no OldConScape in extras * no threading in LinearSolver * return OldConScape to extras * bugfixes * Optim in docs * use Graphs from branch until its merged * move types out of ConScape.jl fiel * remove init * use the ReadOnlyArrays package for ReadOnlyArray * fix mosaic tests * move sources block down * run CI on any PR * no lts in CI for now * remove JET its failing in CI * mosaic is slightly broken * bugfix windowed tests * remove unreliable test
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We should also test if changes in theta increase the similarity as expected. Another possibility is to try Float128 for better accuracity solves. |
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This PR tests the correlation between LeastCostPath and RSP with high theta, and RandomWalk/RSP with low theta.
@ninbrm this will need your input as to whether this makes sense, but it seems like a fairly intuitive way to explicitly link and test the three approaches.
The betweenness measures dont end up exactly the same. The correlation increasese as theta gets lower/higher but the overall magnitudes dont necessarily match. Thats why
coris used rather thanisapprox.On the LCP / RSP high theta side things start to break with NaNs and other kinds of overflow as theta gets too high, so we can't test all the outputs.
Another consideration is we should test it accross distance_transformation values, like
alpha=2.0, as the correlation seems to drop off a lot.