v6.1

v6.1 - BARTs

Main features

• Implemented BARTs (Bayesian additive regression trees) models in R with package embarcadero (#15)
  • Full-scale, all species distribution models
  • Also QC-scale, single species attempts while implementing models
  • Results for all previous analyses (richness, LCBD, relationship, subareas, moving-windows)
• Implemented direct BART models on species richness & LCBD value (#16)
  • Same workflow for BART & RF
  • Separate model (R) & visualization (Julia) scripts
• Implemented functions to apply operations directly on SimpleSDMLayer elements (e.g. max, min, + , -, mean)

Others

• Switched to tidyverse syntax & style in R
• RData files moved to separate folder
• Attempt at using a module for library scripts (implemented, but then reverted)
• Started using VS Code as primary editor for both Julia and R (required some minor style changes)
• Renamed exploration scripts