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#' Spatial distribution example
#'
#' @description Spatial distribution for vehicular emissions based on an image of persistent lights of the
#' Defense Meteorological Satellite Program (DMSP) for 5 Brazilian states (Sao Paulo, Rio de Janeiro, Mato Grosso, and Santa Catarina e Parana).
#'
#' @format A matrix of spatial distribution
#'
#' @seealso \code{\link{to_wrf}}
#'
#' @examples \dontrun{
#'
#' dir.create(file.path(tempdir(), "EMISS"))
#' wrf_create(wrfinput_dir = system.file("extdata", package = "eixport"),
#' wrfchemi_dir = file.path(tempdir(), "EMISS"),
#' frames_per_auxinput5 = 24)
#'
#' # get the name of created file
#' files <- list.files(path = file.path(tempdir(), "EMISS"),
#' pattern = "wrfchemi",
#' full.names = TRUE)
#'
#' data(Lights)
#'
#' perfil <- c(0.010760058, 0.005280596, 0.002883553, 0.002666932,
#' 0.005781312, 0.018412838, 0.051900411, 0.077834636,
#' 0.067919758, 0.060831614, 0.055852868, 0.052468599,
#' 0.050938043, 0.051921718, 0.052756244, 0.052820165,
#' 0.058388406, 0.072855890, 0.075267137, 0.063246412,
#' 0.042713523, 0.029108975, 0.022091855, 0.015298458)
#'
#' plot(perfil,
#' ty = "l",
#' col= "purple",
#' xlab = "Hour",
#' main = "Time profile",
#' ylab = "Weight",
#' axes = FALSE,
#' xlim = c(0, 24))
#' axis(2)
#' axis(1,
#' at = c(0, 6, 12, 18, 24),
#' labels = c("00:00","06:00","12:00","18:00","00:00"))
#'
#' to_wrf(Lights,
#' files[1],
#' total = 1521983,
#' profile = perfil,
#' name = "E_CO")
#'}
#'
#' @author Daniel Schuch
#'
#' @source \url{https://www.ngdc.noaa.gov/eog/dmsp/downloadV4composites.html}
#'
#' @details \url{https://en.wikipedia.org/wiki/Defense_Meteorological_Satellite_Program}
#'
#' @usage data(Lights)
#' @docType data
"Lights"
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