SSDM: Stacked Species Distribution Modelling
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.
Version:
0.2.11
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)
Published:
2025年05月20日
Author:
Sylvain Schmitt [aut, cre],
Robin Pouteau [aut],
Dimitri Justeau [aut],
Florian de Boissieu [aut],
Lukas Baumbach [aut],
Philippe Birnbaum [aut]
Maintainer:
Sylvain Schmitt <sylvain.m.schmitt at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
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