CRAN/E | PointedSDMs

PointedSDMs

Fit Models Derived from Point Processes to Species Distributions using 'inlabru'

Installation

About

Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these 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.

Citation PointedSDMs citation info
github.com/PhilipMostert/PointedSDMs
Bug report File report

Key Metrics

Version 1.3.2
R ≥ 4.1
Published 2024-02-02 77 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks PointedSDMs results

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Maintainer

Maintainer

Philip Mostert

philip.s.mostert@ntnu.no

Authors

Philip Mostert

aut / cre

Bob O'hara

aut

Material

README
NEWS
Reference manual
Package source

Additional repos

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

Vignettes

Marked Point Process
Setophaga example
Example of PointedSDMs for the solitary tinamou
Spatiotemporal example

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PointedSDMs archive

Depends

R ≥ 4.1
stats
sf
inlabru ≥ 2.8.0
R6 ≥ 2.5
methods

Imports

terra
ggplot2
raster
sp ≥ 1.4-5
R.devices
blockCV ≥3.0.0

Suggests

testthat ≥ 3.0.0
sn
INLA ≥ 21.08.31
rasterVis
ggmap
ggpolypath
RColorBrewer
cowplot
knitr
kableExtra
rmarkdown
spocc
covr

Reverse Depends

intSDM