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PointedSDMs

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

v2.1.5 · Feb 18, 2026 · GPL (>= 3)

Description

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>.

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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Reverse Dependencies (1)

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Dependency Network

Dependencies Reverse dependencies sf inlabru R6 terra ggplot2 fmesher raster sp R.devices blockCV FNN dplyr lifecycle intSDM PointedSDMs

Version History

new 2.1.5 Mar 10, 2026
updated 2.1.5 ← 2.1.4 diff Feb 17, 2026
updated 2.1.4 ← 2.1.3 diff Aug 28, 2025
updated 2.1.3 ← 2.1.2 diff Jan 12, 2025
updated 2.1.2 ← 2.1.0 diff Aug 21, 2024
updated 2.1.0 ← 1.3.2 diff Jul 7, 2024
updated 1.3.2 ← 1.3.1 diff Feb 1, 2024
updated 1.3.1 ← 1.3 diff Oct 9, 2023
updated 1.3 ← 1.2.1 diff Aug 9, 2023
updated 1.2.1 ← 1.2.0 diff Feb 6, 2023
updated 1.2.0 ← 1.1.1 diff Jan 15, 2023
updated 1.1.1 ← 1.1.0 diff Sep 4, 2022
updated 1.1.0 ← 1.0.6 diff Aug 30, 2022
updated 1.0.6 ← 1.0.5 diff Jun 14, 2022
new 1.0.5 Jun 13, 2022