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intSDM
View on CRAN: Click
here
Download and install intSDM package within the R console
Install from CRAN:
install.packages("intSDM")
Install from Github:
library("remotes")
install_github("cran/intSDM")
Install by package version:
library("remotes")
install_version("intSDM", "2.0.2")
Attach the package and use:
library("intSDM")
Maintained by
Philip Mostert
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-30
Latest Update: 2023-10-20
Description:
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
How to cite:
Philip Mostert (2022). intSDM: Reproducible Integrated Species Distribution Models Across Norway using 'INLA'. R package version 2.0.2, https://cran.r-project.org/web/packages/intSDM
Previous versions and publish date:
Other packages that cited intSDM R package
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Other R packages that intSDM depends,
imports, suggests or enhances
Functions, R codes and Examples using
the intSDM R package
Some associated functions: formatStructured . generateAbsences . obtainArea . obtainCovariate . obtainGBIF . sdmWorkflow . species_model . startWorkflow .
Some associated R codes: formatStructured.R . generateAbsences.R . obtainArea.R . obtainCovariate.R . obtainGBIF.R . obtainMeta.R . reportWorkflow.R . sdmWorkflow.R . species_model.R . startWorkflow.R . Full intSDM package functions and examples
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