Advices for large jurisdictions#
Some advices for large jurisdictions#
It could be necessary to change the default parameters of the plugin for large jurisdictions (e.g. country scale).
Use a larger
Max. distance to forest egde (m)
, e.g. 6000 m in theBenchmark
andMW models
.If you want to save computation time and look at the most important results, only:
Calibrate the models on the calibration period, checking
calib. period
in the boxFit model to data
.Predict for the validation period, checking
t2 validation
in the boxPredict the deforestation risk
.
For FAR models:
Use a larger
Spatial cell size (km)
for sampling, e.g. 10 km to avoid estimating a too large number of parameters for spatial random effects.Use a larger
Spatial cell size interpolation (km)
, e.g. 1 km.
For the MW models, use only one
Window sizes (# pixels)
, e.g. 21. This should correspond to about 630 m for a resolution of 30 m.For the validation step, use only one
Coarse grid cell sizes (# pixels)
and increase its size, using e.g. 300. This should correspond to about 9 km for a resolution of 30 m.