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#' sdmpredictors: Species Distribution Modeling Predictor Datasets
#'
#' Terrestrial and marine predictors for species distribution modeling from
#' multiple sources, including WorldClim (\url{https://www.worldclim.org/}),
#' Bio-ORACLE (\url{https://bio-oracle.org/}) and MARSPEC
#' (\url{http://www.marspec.org/}).
#'
#' @references WorldClim: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones
#' and A. Jarvis (2005). Very high resolution interpolated climate surfaces for
#' global land areas. International Journal of Climatology 25: 1965-1978.
#' (\doi{10.1002/joc.1276})
#'
#' ENVIREM: Title, P. O. and Bemmels, J. B. (2017). envirem: An expanded set of
#' bioclimatic and topographic variables increases flexibility and improves
#' performance of ecological niche modeling. Ecography (Cop.). in press.
#' (\doi{10.1111/ecog.02880})
#'
#' Bio-ORACLE: Tyberghein L., Verbruggen H., Pauly K., Troupin C., Mineur F. &
#' De Clerck O. (2012) Bio-ORACLE: a global environmental dataset for marine species
#' distribution modeling. Global Ecology and Biogeography
#' (\doi{10.1111/j.1466-8238.2011.00656.x}).
#'
#' Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrao, E. A., & De Clerck, O.
#' (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling.
#' Global Ecology and Biogeography.
#' (\doi{10.1111/geb.12693})
#'
#' MARSPEC: Sbrocco, EJ and Barber, PH (2013) MARSPEC: Ocean climate layers
#' for marine spatial ecology. Ecology 94: 979.
#' (\doi{10.1890/12-1358.1})
#'
#' @docType package
#' @name sdmpredictors
#'
#' @importFrom raster raster stack
#' @import stats utils
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