In MayaGueguen/RFate: Vegetation modelling with the FATE model

A. Evolution of simulation through time

Create temporal evolution table : retrieve PFG pixel abundance (as well as light and soil resources) through time
with the function POST_FATE.temporalEvolution
Abundance over all studied area : with the function POST_FATE.graphic_evolutionCoverage
Abundance / light / soil within some pixels : with the function POST_FATE.graphic_evolutionPixels
Habitat composition stability over all studied area : with the function POST_FATE.graphic_evolutionStability

B. Relative / binary maps & Evaluation of outputs

Create relative abundance maps : transform absolute abundance maps into relative abundance maps
with the function POST_FATE.relativeAbund
Validation statistics : calculate evaluation metrics (TSS, AUC) for each PFG
with the function POST_FATE.graphic_validationStatistics
Create binary maps : transform relative abundance maps into presence / absence maps
with the function POST_FATE.binaryMaps
PFG outputs vs Habitat suitability : compare binary maps (outputs) with habitat suitability maps (inputs)
with the function POST_FATE.graphic_mapPFGvsHS

C. Visualization of outputs

PFG cover / richness / light CWM / soil CWM :
with the function POST_FATE.graphic_mapPFG
- create map of PFG abundance above 1.5 meters within each pixel
- create map of number of PFG alive within each pixel
- create map of light community weighted mean within each pixel
- create map of soil community weighted mean within each pixel