R/woody_NA-data.R

In rebeccalpowell/grassmapr: Predict C3/C4 Grass Distribution

#' Percent woody cover for North America
#'
#' Gridded percent tree crown layer for North America in the year 2001,
#'   aggregated to 10' spatial resolution. Derived from the MODIS/Terra
#'   Vegetation Continuous Fields (v006) tree cover layer, following rules
#'   described in Powell et al. 2012.
#'
#' @docType data
#' @usage data(woody_NA)
#' @format An object of class \code{"RasterLayer"}; see
#'   \code{\linkS4class{Raster}}.
#' @keywords datasets
#' @references Dimiceli, C. et al. 2015. MOD44B MODIS/Terra Vegetation
#'   Continuous Fields Yearly L3 Global 250m SIN Grid V006 [Data set]. NASA
#'   EOSDIS Land Processes DAAC. doi: 10.5067/MODIS/MOD44B.006
#'
#' Friedl, M. A. et al. 2010. MODIS Collection 5 global land cover: Algorighm
#'   refinements and characterization of new datasets. -- Remote Sensing of
#'   Environment 114:168-182.
#'
#' Hansen, M. C. et al. 2003. Global percent tree cover at a spatial resolution
#'   of 500 meters: first results of the MODIS vegetation continuous fields
#'   algorithm. -- Earth Interactions 7:10.
#'
#' Powell, R. L. et al. 2012. Vegetation and soil carbon-13 isoscapes for South
#'   America: integrating remote sensing and ecosystem isotope measurements. --
#'   Ecosphere 3:109.
#'
#' @source \emph{MODIS Vegetation Continuous Fields V006}. Global Land Cover
#'   Facility, University of Maryland:  \url{http://glcf.umd.edu/data/vcf/}
#'
#' @examples
#' # Read in the data
#' data(woody_NA)
#' \donttest{
#' # Plot data layer
#' plot(woody_NA)}
#'
"woody_NA"