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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)
::install_github("biomodhub/biomod2", dependencies = TRUE) devtools
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 raster
and sp
.biomod2
is still compatible with old format such as
RasterStack
and 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)ggplot2
biomod2
website has been created, with proper roxygen2
documentation and help vignettes