⚠️There's a newer version (4.2-6-2) of this package.Take me there.

biomod2 (version 3.3-7)

Ensemble Platform for Species Distribution Modeling

Description

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

Copy Link

Version

Install

install.packages('biomod2')

Monthly Downloads

4,048

Version

3.3-7

License

GPL-2

Maintainer

Damien Georges

Last Published

March 1st, 2016

Functions in biomod2 (3.3-7)

BIOMOD.projection.out-class

BIOMOD_Projection() outputs objects class

FilteringTransformation

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

BIOMOD_LoadModels

Load models built within BIOMOD_Modeling function

biomod2-package

Species Distribution Modeling within an Ensemble Forecasting framework

makeFormula

Standardized formula maker

update_objects

update biomod2 objects

BinaryTransformation

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

BIOMOD_FormatingData

Initialise the datasets for usage in biomod2

response.plot2

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

BIOMOD.stored.objects-class

BIOMOD.stored.xxx objects class

BIOMOD_ConvertOldRun

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

getStatOptimValue

get the optimal score of evaluation statistical metrics

evaluate

biomod2 modelling outputs evaluation

BIOMOD_ModelingOptions

Configure the modeling options for each selected model

multiple.plot

Plot and compare prediction maps within BIOMOD

BIOMOD_EnsembleModeling

Create and evaluate an ensemble set of models and predictions

BIOMOD_Modeling

Run a range of species distribution models

BIOMOD.EnsembleModeling.out-method

BIOMOD.EnsembleModeling.out getters

BIOMOD.Model.Options-class

BIOMOD_ModelingOptions() outputs objects class

level.plot

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

Find.Optim.Stat

Calculate the best score according to a given evaluation method

BIOMOD_Projection

Project the calibrated models within biomod2 into new space or time

sample.factor.levels

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

Print_Default_ModelingOptions

Get default values of BIOMOD inner models' options

full_suffling

data set shuffling tool

BIOMOD.projection.out-method

BIOMOD.projection.out getters

BIOMOD.formated.data-class

BIOMOD_FormatingData() outputs objects class

BIOMOD.EnsembleModeling.out-class

BIOMOD_EnsembleModeling() outputs objects class

ProbDensFunc

Probability Density Function

models_scores_graph

Produce models evaluation bi-dimensional graph

BIOMOD_RangeSize

Analysis of the range size changes

BIOMOD.models.out-methods

BIOMOD.models.out getters

biomod2_model-class

biomod2 models objects class and functions

BIOMOD.stored.objects-methods

BIOMOD.stored.objects functions

BIOMOD_EnsembleForecasting

Ensemble projections of species over space and time

calculate.stat

Calculate evaluation metrics based on a misclassification table

CustomIndexMaker

Replace default package Index help file by a custom one.

biomod2.inner-method

biomod2 internal functions

BIOMOD.models.out-RemoveProperly

remove properly BIOMOD_Modeling outputs

randomise_data

data set shuffling tool

BIOMOD_cv

Custom models cross-validation procedure

SampleMat2

Sample binary vector

variables_importance

Variables importance calculation

response.plot

Analysis of the response curves of a model within Biomod

sre

Surface Range Envelope

BIOMOD.models.out-class

BIOMOD_modelling() outputs objects class

BIOMOD_presenceonly

evaluate models with presences only metrics

BIOMOD_tuning

Tune models parameters

DF_to_ARRAY

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

biomod2.deprecated.functions

biomod2 deprecated functions