i. The first code to run is the ebarbara_1_dataGeneration.qmd
html. Four new files will be created:
- PA blobs for time1 and time2 (
PA_ebarbara_time1_blobs
andPA_ebarbara_time2_blobs
). - PO rasters for time1 and time2 (
PO_ebarbara_time1_raster
andPO_ebarbara_time2_raster
).
ii. After, run ebarbara_2_variableSelection.qmd
html to get the best predictors for the modeled species. The predictors will be: cov.1
, cov.2
, cov.3
, and cov.4
.
iii. Then run the ebarbara_3_dataPreparation.qmd
html code with the selected predictors to prepare the data for the model. Four new files will be created:
- PO data for time1 and time2 (
PO_ebarbara_time1.model.data
andPO_ebarbara_time2.model.data
). - PA data for time1 and time2 (
PA_ebarbara_time1.model.data
andPA_ebarbara_time2.model.data
).
iv. Run the model with ebarbara_4_modelRun.qmd
html. Two new files will be created:
- The JAGS model(
ebarbara_model.txt
) - The model output (
ebarbara_model.rds
) - caution this is a >5GB file
v. And, finally, create the output figures with ebarbara_5_modelOutputs.qmd
html. The html output will show all the results, plus a new file will be created:
- The model diagnostics (
docs/ebarbara_model_diagnostics.pdf
).