Comments (3)
@wande001, question to be asked: at the moment, we throw all areas on one big pile (multiplied by the number of simulation years this yields a big number of values) and then try to find 'one model to rule them all'.
would it not make more sense to fit a model per polygon? this model could then be based more on the local specifics rather on correlations for the entire continent. moreover, we would immediately see for which polygon the model results in good performance in for which ones not.
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answer to comment above: no, we will stick to establishing relations based on all water provinces and not per water province individually. mostly because the model will never project conflicts in areas where no conflicts occured thus far, even though environmental/climate conditions may change.
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in 79fd7d6 splitting/adding geometry information per data point was achieved.
now needed to correctly combine the predicted conflicts with the geometry information used as input to the predict function. the data can then be plotted (somehow).
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Related Issues (20)
- add post-processing HOT 1
- joss/editing HOT 9
- software installation/download --- JOSS HOT 9
- reproducibility --- JOSS HOT 1
- more click scripts via setuptools HOT 1
- add conflict at t-1 as sample data HOT 5
- log transform data HOT 1
- change ln of conflicts counts HOT 1
- restructure output folders HOT 1
- v0.0.8: adapt command line script HOT 1
- v0.0.8: update documentation
- v0.0.8: update example data
- keep scaler identical HOT 3
- BUG: folder name per clf in PROJ HOT 1
- test setting of output directory via command line
- not creating conflict file at last tstep
- compatible with migration tif-file files as input HOT 2
- Is it possible to also include cell with negative out migration (=in migration)?
- define output files HOT 1
- add feature importance HOT 1
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