#' Derive a vertical profile of a point cloud or a canopy height model
#'
#' Function that creates profiles from XYZ-tables with a custom height
#' resolution (binwidth)
#' @param XYZ.table 3-column data frame with 3rd column containing heights
#' @param binwidth number specifying the vertical width of height classes
#' @return vector of point or pixel counts per height class with height values as names
#' @keywords profile lidar point cloud CHM xyz
#' @export
#' @examples in progress
#' @author Nikolai Knapp, nikolai.knapp@ufz.de
make.profile.from.XYZ <- function(XYZ.table, binwidth=1){
#require(data.table)
#require(plyr)
names(XYZ.table) <- c("X", "Y", "Z")
max.Z <- max(XYZ.table$Z, na.rm=T)
min.Z <- min(XYZ.table$Z, na.rm=T)
XYZ.table$Z <- round_any(XYZ.table$Z, binwidth, floor)
XYZ.table <- data.table(XYZ.table)
Z.summary <- XYZ.table[,.N, by='Z']
profile.bins <- seq(round_any(min.Z, binwidth, floor), round_any(max.Z, binwidth, ceiling), binwidth)
profile.vals <- rep(0, times=length(profile.bins))
profile.vals[match(Z.summary$Z, profile.bins)] <- Z.summary$N
names(profile.vals) <- profile.bins
return(profile.vals)
}
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