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PointedSDMs
View on CRAN: Click
here
Download and install PointedSDMs package within the R console
Install from CRAN:
install.packages("PointedSDMs")
Install from Github:
library("remotes")
install_github("cran/PointedSDMs")
Install by package version:
library("remotes")
install_version("PointedSDMs", "2.1.3")
Attach the package and use:
library("PointedSDMs")
Maintained by
Philip Mostert
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.PointedSDMs . https://github.com/PhilipMostert/PointedSDMs/issues . https://github.com/PhilipMostert/PointedSDMs . PointedSDMs citation info . PointedSDMs results . PointedSDMs.pdf . Example of PointedSDMs for the solitary tinamou . PointedSDMs_2.1.3.tar.gz . PointedSDMs_2.1.3.zip . PointedSDMs_2.1.3.zip . PointedSDMs_2.1.3.zip . PointedSDMs_2.1.3.tgz . PointedSDMs_2.1.3.tgz . PointedSDMs_2.1.3.tgz . PointedSDMs_2.1.3.tgz . PointedSDMs archive . https://CRAN.R-project.org/package=PointedSDMs .
First Published: 2022-06-14
Latest Update: 2024-02-02
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
How to cite:
Philip Mostert (2022). PointedSDMs: Fit Models Derived from Point Processes to Species Distributions using 'inlabru'. R package version 2.1.3, https://cran.r-project.org/web/packages/PointedSDMs. Accessed 06 May. 2025.
Previous versions and publish date:
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Other R packages that PointedSDMs depends,
imports, suggests or enhances
Complete documentation for PointedSDMs
Functions, R codes and Examples using
the PointedSDMs R package
Some associated functions: Altitude . BBA . BBS . BBSColinusVirginianus . Forest . Gbif . Koala . NLCD_canopy_raster . NPP . Parks . SetophagaData . SolitaryTinamou . blockedCV-class . blockedCV . bruSDM-class . bruSDM_predict-class . changeCoords . checkCoords . checkVar . data2ENV . dataOrganize . dataSDM . dataSet . datasetOut-class . datasetOut . eBird . elev_raster . fitISDM . intModel . makeLhoods . nameChanger . plot . predict . print.blockedCV . print.bruSDM . print.bruSDM_predict . print.datasetOut . region . runModel . summary .
Some associated R codes: blockedCV.R . bruSDM_outputs.R . bruSDM_predict.R . changeCoords.R . checkCoords.R . checkVar.R . data.BBSColinusVirginianus.R . data.Koala.R . data.SetophagaData.rda.R . data.SolitaryTinamou.rda.R . data2ENV.R . dataOrganize.R . dataSDM.R . dataSet.R . datasetOLD.R . datasetOut.R . fitISDM.R . intModel.R . makeLhoods.R . makeMarks.R . nameChanger.R . runModel.R . Full PointedSDMs package functions and examples
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