Package: eSDM 0.4.4

Sam Woodman

eSDM: Ensemble Tool for Predictions from Species Distribution Models

A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.

Authors:Sam Woodman [aut, cre]

eSDM_0.4.4.tar.gz
eSDM_0.4.4.zip(r-4.7)eSDM_0.4.4.zip(r-4.6)eSDM_0.4.4.zip(r-4.5)
eSDM_0.4.4.tgz(r-4.6-any)eSDM_0.4.4.tgz(r-4.5-any)
eSDM_0.4.4.tar.gz(r-4.7-any)eSDM_0.4.4.tar.gz(r-4.6-any)
eSDM_0.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
eSDM/json (API)
NEWS

# Install 'eSDM' in R:

install.packages('eSDM', repos = c('https://swfsc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/swfsc/esdm/issues

Pkgdown/docs site:https://swfsc.github.io

Datasets:

gshhg.l.L16 - Low resolution GSHHG world map
preds.1 - Sample SDM density predictions
preds.2 - Sample SDM density predictions
preds.3 - Sample SDM density predictions
validation.data - Sample validation data

On CRAN:

5.16 score 11 stars 26 scripts 304 downloads 8 exports 55 dependencies

Last updated from:be2f911c1f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	173
source / vignettes	OK	254
linux-release-x86_64	OK	176
macos-release-arm64	OK	121
macos-oldrel-arm64	OK	123
windows-devel	OK	149
windows-release	OK	143
windows-oldrel	OK	169
wasm-release	OK	149

Exports:ensemble_create ensemble_rescale eSDM_GUI evaluation_metrics model_abundance overlay_sdm pts2poly_centroids pts2poly_vertices

Dependencies:base64enc bitops bslib cachem caTools class classInt cli commonmark DBI digest dplyr e1071 fastmap fontawesome fs generics glue gplots gtools htmltools httpuv jquerylib jsonlite KernSmooth later lifecycle magrittr MASS memoise mime otel pillar pkgconfig promises proxy purrr R6 rappdirs Rcpp rlang ROCR s2 sass sf shiny sourcetools tibble tidyselect units utf8 vctrs withr wk xtable

Example analysis - Woodman et al 2019

Samuel Woodman

Rendered fromexample-analysis.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2024-10-02
Started: 2019-05-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Ensemble tool for predictions from Species Distribution Models	eSDM-package eSDM
Create ensemble of SDM predictions	ensemble_create ensemble_create.data.frame ensemble_create.sf
Rescale SDM predictions	ensemble_rescale
Open the eSDM GUI	eSDM_GUI
Calculate SDM evaluation metrics	evaluation_metrics
Low resolution GSHHG world map	gshhg.l.L16
Calculate predicted abundance	model_abundance
Overlay SDM predictions onto base geometry	overlay_sdm
Sample SDM density predictions	preds preds.1 preds.2 preds.3
Create polygons from centroid coordinates	pts2poly_centroids
Create polygons from vertex coordinates	pts2poly_vertices
Sample validation data	validation.data