CRAN/E | intSDM

intSDM

Reproducible Integrated Species Distribution Models Across Norway using 'INLA'

Installation

About

Integration of disparate datasets is needed in order to make efficient use of all available data and thereby address the issues currently threatening biodiversity. Data integration is a powerful modeling framework which allows us to combine these datasets together into a single model, yet retain the strengths of each individual dataset. We therefore introduce the package, 'intSDM': an R package designed to help ecologists develop a reproducible workflow of integrated species distribution models, using data both provided from the user as well as data obtained freely online. An introduction to data integration methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) doi:10.1016/j.tree.2019.08.006.

Key Metrics

Version 2.0.2
R ≥ 3.5
Published 2023-10-20 189 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks intSDM results

Downloads

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Maintainer

Maintainer

Philip Mostert

philip.s.mostert@ntnu.no

Authors

Philip Mostert

aut / cre

Angeline Bruls

aut

Ragnhild {Bjørkås}

aut

Wouter Koch

aut

Ellen Martin

aut

Material

README
NEWS
Reference manual
Package source

Additional repos

inla.r-inla-download.org/R/testing/

Vignettes

PennsylvaniaWarbler
Example creating a reproducible workflow for red listed vascular plants

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

intSDM archive

Depends

R ≥ 3.5
ggplot2
terra
sf
stats
PointedSDMs
methods

Imports

R6
geodata
inlabru ≥ 2.3.1
giscoR
blockCV
rgbif
tidyterra

Suggests

viridis
INLA ≥ 21.08.31
ggpolypath
R.utils
lwgeom
spatstat
RColorBrewer
knitr
rmarkdown
testthat ≥ 3.0.0