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#' SHEI (landscape level)
#'
#' @description Shannons's evenness index (Diversity metric)
#'
#' @param landscape A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
#'
#' @details
#' \deqn{SHEI = \frac{- \sum \limits_{i = 1} ^ {m} (P_{i} * \ln P_{i})} {\ln m}}
#' where \eqn{P_{i}} is the proportion of class i and \eqn{m} is the
#' number of classes.
#'
#' SHEI is a 'Diversity metric'. It is the ratio between the actual Shannon's diversity index
#' and and the theoretical maximum of the Shannon diversity index. It can be understood as a
#' measure of dominance.
#'
#' \subsection{Units}{None}
#' \subsection{Range}{0 <= SHEI < 1}
#' \subsection{Behaviour}{Equals SHEI = 0 when only one patch present and equals SHEI = 1
#' when the proportion of classes is completely equally distributed}
#'
#' @seealso
#' \code{\link{lsm_c_pland}},
#' \code{\link{lsm_l_pr}}
#'
#' @return tibble
#'
#' @examples
#' landscape <- terra::rast(landscapemetrics::landscape)
#' lsm_l_shei(landscape)
#'
#' @references
#' McGarigal K., SA Cushman, and E Ene. 2023. FRAGSTATS v4: Spatial Pattern Analysis
#' Program for Categorical Maps. Computer software program produced by the authors;
#' available at the following web site: https://www.fragstats.org
#'
#' Shannon, C., and W. Weaver. 1949. The mathematical theory of
#' communication. Univ. IllinoisPress, Urbana
#'
#' @export
lsm_l_shei <- function(landscape){
landscape <- landscape_as_list(landscape)
result <- lapply(X = landscape,
FUN = lsm_l_shei_calc)
layer <- rep(seq_along(result),
vapply(result, nrow, FUN.VALUE = integer(1)))
result <- do.call(rbind, result)
tibble::add_column(result, layer, .before = TRUE)
}
lsm_l_shei_calc <- function(landscape, resolution, extras = NULL){
# get class proportions (direction doesn't matter)
prop <- lsm_c_pland_calc(landscape,
directions = 8,
resolution = resolution,
extras = extras)
# all values NA
if (all(is.na(prop$value))) {
return(tibble::new_tibble(list(level = "landscape",
class = as.integer(NA),
id = as.integer(NA),
metric = "shei",
value = as.double(NA))))
}
prop <- prop$value / 100
if (length(prop) == 1){
shei <- 0
} else {
shei <- -sum(prop * log(prop)) / log(length(prop))
}
return(tibble::new_tibble(list(level = rep("landscape", length(shei)),
class = rep(as.integer(NA), length(shei)),
id = rep(as.integer(NA), length(shei)),
metric = rep("shei", length(shei)),
value = as.double(shei))))
}
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