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biomod2: Ensemble Platform for Species Distribution Modeling

Functions for species distribution modeling, calibration and evaluation, ensemble of models.

Installation

You can install biomod2 in R using devtools:

devtools::install_github("biomodhub/biomod2", dependencies = TRUE)
  • stable version (from cran)
install.packages("biomod2", dependencies = TRUE)

Development team

  • Wilfried Thuiller [aut, cre]
  • Damien Georges [aut, cre]
  • Robin Engler [aut]
  • Frank Breiner [aut]

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Version

Install

install.packages('biomod2')

Monthly Downloads

3,175

Version

3.4.6

License

GPL-2

Maintainer

Last Published

February 26th, 2020

Functions in biomod2 (3.4.6)

BIOMOD.stored.objects-methods

BIOMOD.stored.objects functions
BIOMOD.Model.Options-class

BIOMOD_ModelingOptions outputs objects class
BIOMOD.formated.data-class

BIOMOD_FormatingData() outputs objects class
BIOMOD.EnsembleModeling.out-class

BIOMOD_EnsembleModeling() outputs objects class
BIOMOD.stored.objects-class

BIOMOD.stored.xxx objects class
BIOMOD.models.out-class

BIOMOD_modelling() outputs objects class
BIOMOD.projection.out-class

BIOMOD_Projection() outputs objects class
BIOMOD.EnsembleModeling.out-method

BIOMOD.EnsembleModeling.out getters
BIOMOD.models.out-methods

BIOMOD.models.out getters
BIOMOD_ModelingOptions

Configure the modeling options for each selected model
BIOMOD.projection.out-method

BIOMOD.projection.out getters
BIOMOD_Modeling

Run a range of species distribution models
BIOMOD_cv

Custom models cross-validation procedure
BIOMOD_RangeSize

Analysis of the range size changes
BIOMOD_LoadModels

Load models built within BIOMOD_Modeling function
BIOMOD_EnsembleModeling

Create and evaluate an ensemble set of models and predictions
BIOMOD_Projection

Project the calibrated models within biomod2 into new space or time
.transform.outputs.array

Reshape biomod2 objects
BinaryTransformation

Convert species' probability of occurrence into binary presence-absence data using a predefined threshold
CustomIndexMaker

Replace default package Index help file by a custom one.
Print_Default_ModelingOptions

Get default values of BIOMOD inner models' options
ProbDensFunc

Probability Density Function
.transform.outputs.list

Reshape biomod2 objects
models_scores_graph

Produce models evaluation bi-dimensional graph
BIOMOD_FormatingData

Initialize the datasets for usage in biomod2
SampleMat2

Sample binary vector
Find.Optim.Stat

Calculate the best score according to a given evaluation method
FilteringTransformation

Convert species' probability of occurrence into binary presence-absence data using a predefined threshold
DF_to_ARRAY

Convert a biomod2 data.frame (or list) into array
BIOMOD_presenceonly

evaluate models with presences only metrics
BIOMOD_EnsembleForecasting

Ensemble projections of species over space and time
randomise_data

data set shuffling tool
evaluate

biomod2 modelling outputs evaluation
BIOMOD_tuning

Tune models parameters
biomod2.inner-method

biomod2 internal functions
BIOMOD_ConvertOldRun

Convert objects and outputs from BIOMOD.xx into biomod2.xx objects and outputs
multiple.plot

Plot and compare prediction maps within BIOMOD
biomod2.deprecated.functions

biomod2 deprecated functions
biomod2-package

Species Distribution Modeling within an Ensemble Forecasting framework
biomod2_model-class

biomod2 models objects class and functions
getStatOptimValue

get the optimal score of evaluation statistical metrics
update_objects

update biomod2 objects
level.plot

Plot 2-dimensional data for visualizing distribution of species or environment
makeFormula

Standardized formula maker
sample.factor.levels

Tool to ensure the sampling of all levels of a factorial variable
full_suffling

data set shuffling tool
response.plot

Analysis of the response curves of a model within Biomod
response.plot2

Function for for plotting predicted responses from species distribution models in 2 or 3 dimensions
sre

Surface Range Envelope
calculate.stat

Calculate evaluation metrics based on a misclassification table
variables_importance

Variables importance calculation