Description: Tools for generation of (life-history) traits and diversity maps on hexagonal or square grids. Valcu et al.(2012) <doi:10.1111/j.1466-8238.2011.00739.x>.

person("James", "Dale", , "J.Dale@massey.ac.nz", "aut", comment = c( ORCID = '0000-0001-5950-5829') ),
Suggests: testthat, knitr, ggplot2, viridis, rmarkdown, pkgdown, nlme,

Title: Provides Templates for Metadata Files Associated with Species
Author: Cory Merow, Brian Maitner, Hannah Owens
Description: 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. Associated manuscript in review.
Suggests: testthat, knitr, rmarkdown, BIEN,
Imports: googlesheets, spocc, raster, dismo, utils, shiny, jsonlite,
dplyr, sp, MASS, biomod2, ecospat, rgdal, rgeos, spatstat,

Author: Cory Merow, Brian Maitner, Hannah Owens, Jamie Kass, Brian Enquist, Rob Guralnick
Imports: biomod2, dismo, dplyr, ecospat, ENMeval, googlesheets,
jsonlite, MASS, raster, rgbif, rgdal, rgeos, shiny, sp,

Author: Cory Merow, Brian Maitner, Hannah Owens, Jamie Kass, Brian Enquist, Rob Guralnick, Damairis Zurrel, Christian Koenig
Description: 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
Suggests: BIEN, biomod2, dismo, ecospat, ENMeval, googlesheets, knitr,
Imports: dplyr, jsonlite, MASS, raster, rgbif, rgdal, rgeos, shiny, sp,