rangeModelMetadata: Provides Templates for Metadata Files Associated with Species Range Models

Range Modeling Metadata Standards (RMMS) address three challenges: they (i) are designed for convenience to encourage use, (ii) accommodate a wide variety of applications, and (iii) are extensible to allow the community of range modelers to steer it as needed. RMMS are based on a data dictionary that specifies a hierarchical structure to catalog different aspects of the range modeling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to provide their own values. Merow et al. (2019) <doi:10.1111/geb.12993> describe the standards in more detail. Note that users who prefer to use the R package 'ecospat' can obtain it from <https://github.com/ecospat/ecospat>.

Version: 0.1.5
Depends: R (≥ 3.5.0)
Imports: shiny, spocc, utils, BIEN, terra
Suggests: dismo, googlesheets4, knitr, rmarkdown, rgbif, dplyr, sf
Published: 2023-10-16
DOI: 10.32614/CRAN.package.rangeModelMetadata
Author: Cory Merow [aut, cre], Brian Maitner [aut], Hannah Owens [aut], Jamie Kass [aut], Brian Enquist [aut], Rob Guralnik [aut], Damaris Zurrell [aut], Christian Koenig [aut]
Maintainer: Cory Merow <cory.merow at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: rangeModelMetadata results


Reference manual: rangeModelMetadata.pdf
Vignettes: rangeModelMetaData with Multiple Species
rangeModelMetadata Function Directory
An overview of making rangeModelMetadata objects


Package source: rangeModelMetadata_0.1.5.tar.gz
Windows binaries: r-devel: rangeModelMetadata_0.1.5.zip, r-release: rangeModelMetadata_0.1.5.zip, r-oldrel: rangeModelMetadata_0.1.5.zip
macOS binaries: r-release (arm64): rangeModelMetadata_0.1.5.tgz, r-oldrel (arm64): rangeModelMetadata_0.1.5.tgz, r-release (x86_64): rangeModelMetadata_0.1.5.tgz, r-oldrel (x86_64): rangeModelMetadata_0.1.5.tgz
Old sources: rangeModelMetadata archive

Reverse dependencies:

Reverse imports: changeRangeR, ENMeval
Reverse suggests: wallace


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