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Species distribution modeling,
calibration and evaluation,
ensemble modeling
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https://biomodhub.github.io/biomod2/
install.packages("biomod2", dependencies = TRUE)library(devtools)
devtools::install_github("biomodhub/biomod2", dependencies = TRUE)
All changes
between versions are detailed in News.
NEW video
tutorial in Videos
!
biomod 4.2-6 - Improved OptionsBigBoss and new modelPlease feel free to indicate if you notice some strange new behaviors !
OptionsBigboss.
(This only affects the ANN, CTA and RF models.) You can check all your
options with the get_options() function.biomod2 has a new model: RFd. It’s a
Random Forest model with a down-sampling method.bm_PseudoAbsences() and
BIOMOD_FormatingData().bm_ModelingOptions().
biomod 4.2-5 - Modeling options & Tuning UpdateBIOMOD_ModelingOptions and
BIOMOD_Tuning functions become secondary functions
(bm_ModelingOptions and bm_Tuning), and
modeling options can be directly built through
BIOMOD_Modeling functionModelsTable and OptionsBigboss datasets
(note that improvement of bigboss modeling options is planned in
near future)biomod 4.2 - Terra Updatebiomod2 now relies on the new terra package
that aims at replacing rasterand sp.biomod2 is still compatible with old format such as
RasterStackand SpatialPointsDataFrame.biomod2 function will sometimes return
SpatRaster from package terra that you can
always convert into RasterStack using function
stack in raster.biomod 4.1 is now available/!\ Package fresh start… meaning some changes in
function names and parameters. We apologize for the trouble
>{o.o}<
Sorry for the inconvenience, and please
feel free to indicate if you notice some strange new
behaviors !
BIOMOD_ for main
functions, bm_ for secondary functions)ggplot2biomod2
website has been created, with proper roxygen2
documentation and help vignettes