CRAN/E | SSDM

SSDM

Stacked Species Distribution Modelling

Installation

About

Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.

Citation SSDM citation info
github.com/sylvainschmitt/SSDM
Bug report File report

Key Metrics

Version 0.2.9
R ≥ 3.2.2
Published 2023-10-24 190 days ago
Needs compilation? no
License GPL (≥ 3)
License File
CRAN checks SSDM results

Downloads

Yesterday 17 -41%
Last 7 days 138 -15%
Last 30 days 479 +2%
Last 90 days 1.472 -24%
Last 365 days 6.284 +15%

Maintainer

Maintainer

Sylvain Schmitt

sylvain.m.schmitt@gmail.com

Authors

Sylvain Schmitt
Robin Pouteau
Dimitri Justeau
Florian de Boissieu
Lukas Baumbach
Philippe Birnbaum

Material

README
NEWS
Reference manual
Package source

Vignettes

"GUI"
SSDM

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SSDM archive

Depends

R ≥ 3.2.2

Imports

sf ≥ 1.0-14
raster ≥ 2.9-5
methods ≥ 3.2.2
mgcv ≥ 1.8.7
earth ≥ 4.4.3
rpart ≥ 4.1.10
gbm ≥2.1.1
randomForest ≥ 4.6.10
dismo ≥ 1.0.12
nnet ≥7.3.10
e1071 ≥ 1.6.7
ggplot2 ≥ 3.1.1
reshape2 ≥1.4.3
scales ≥ 1.0.0
shiny ≥ 0.12.2
shinydashboard ≥ 0.5.1
spThin ≥ 0.1.0
poibin ≥ 1.3.0
foreach ≥1.4.4
doParallel ≥ 1.0.14
iterators ≥ 1.0.10
itertools ≥ 0.1-3
parallel ≥ 3.5.2
leaflet ≥ 2.2.0
magrittr ≥ 2.0.3
sdm ≥ 1.1.8

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Reverse Suggests

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