Description
Ensemble Platform for Species Distribution Modeling.
Description
Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.
README.md
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Species distribution modeling,
calibration and evaluation,
ensemble modeling
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https://biomodhub.github.io/biomod2/
Installation
- Stable version from cran :
install.packages("biomod2", dependencies = TRUE)
- Development version from biomodhub :
library(devtools)
devtools::install_github("biomodhub/biomod2", dependencies = TRUE)
biomod 4.2-5
- Modeling options & Tuning Update
! biomod2 4.2-5
is now available on CRAN !
/!\
Please feel free to indicate if you notice some strange new behaviors !
What is changed ?
- modeling options are now automatically retrieved from single models functions, normally allowing the use of all arguments taken into account by these functions
- tuning has been cleaned up, but keep in mind that it is still a quite long running process
- in consequence,
BIOMOD_ModelingOptions
andBIOMOD_Tuning
functions become secundary functions (bm_ModelingOptions
andbm_Tuning
), and modeling options can be directly built throughBIOMOD_Modeling
function
What is new ?
ModelsTable
andOptionsBigboss
datasets (note that improvement of bigboss modeling options is planned in near future)- 3 new vignettes have been created :
- data preparation (questions you should ask yourself before modeling)
- cross-validation (to prepare your own calibration / validation datasets)
- modeling options (to help you navigate through the new way of parameterizing single models)
biomod 4.2
- Terra Update
What is changed ?
biomod2
now relies on the newterra
package that aims at replacingraster
andsp
.biomod2
is still compatible with old format such asRasterStack
andSpatialPointsDataFrame
.biomod2
function will sometimes returnSpatRaster
from packageterra
that you can always convert intoRasterStack
using functionstack
inraster
.
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 !
What is changed ?
- all code functions have been cleaned, and old / unused functions have been removed
- function names have been standardized (
BIOMOD_
for main functions,bm_
for secundary functions) - parameter names have been standardized (same typo, same names for similar parameters across functions)
- all documentation and examples have been cleaned up
What is new ?
- plot functions have been re-written with
ggplot2
biomod2
website has been created, with properroxygen2
documentation and help vignettes
But... why ?
- “For every minute spent on organizing, an hour is earned.” — Benjamin Franklin
- better documentation, better formation, better help provided
- new improvements to come (update of single models, implementation of abundance models, etc)