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#'Plot Multiple Lon-Lat Variables In a Single Map According to a Decision Function
#'
#'@description Plot a number a two dimensional matrices with (longitude,
#'latitude) dimensions on a single map with the cylindrical equidistant
#'latitude and longitude projection.
#'
#'@author Nicolau Manubens, \email{nicolau.manubens@bsc.es}
#'@author Veronica Torralba, \email{veronica.torralba@bsc.es}
#'
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#'@param maps List of matrices to plot, each with (longitude, latitude)
#' dimensions, or 3-dimensional array with the dimensions (longitude, latitude,
#' map). Dimension names are required.
#'@param lon Vector of longitudes. Must match the length of the corresponding
#' dimension in 'maps'.
#'@param lat Vector of latitudes. Must match the length of the corresponding
#' dimension in 'maps'.
#'@param map_select_fun Function that selects, for each grid point, which value
#' to take among all the provided maps. This function receives as input a
#' vector of values for a same grid point for all the provided maps, and must
#' return a single selected value (not its index!) or NA. For example, the
#' \code{min} and \code{max} functions are accepted.
#'@param display_range Range of values to be displayed for all the maps. This
#' must be a numeric vector c(range min, range max). The values in the
#' parameter 'maps' can go beyond the limits specified in this range. If the
#' selected value for a given grid point (according to 'map_select_fun') falls
#' outside the range, it will be coloured with 'col_unknown_map'.
#'@param map_dim Optional name for the dimension of 'maps' along which the
#' multiple maps are arranged. Only applies when 'maps' is provided as a
#' 3-dimensional array. Takes the value 'map' by default.
#'@param brks Colour levels to be sent to PlotEquiMap. This parameter is
#' optional and adjusted automatically by the function.
#'@param cols List of vectors of colours to be sent to PlotEquiMap for the
#' colour bar of each map. This parameter is optional and adjusted
#' automatically by the function (up to 5 maps). The colours provided for each
#' colour bar will be automatically interpolated to match the number of breaks.
#' Each item in this list can be named, and the name will be used as title for
#' the corresponding colour bar (equivalent to the parameter 'bar_titles').
#'@param col_unknown_map Colour to use to paint the grid cells for which a map
#' is not possible to be chosen according to 'map_select_fun' or for those
#' values that go beyond 'display_range'. Takes the value 'white' by default.
#'@param mask Optional numeric array with dimensions (latitude, longitude), with
#' values in the range [0, 1], indicating the opacity of the mask over each
#' grid point. Cells with a 0 will result in no mask, whereas cells with a 1
#' will result in a totally opaque superimposed pixel coloured in 'col_mask'.
#'@param col_mask Colour to be used for the superimposed mask (if specified in
#' 'mask'). Takes the value 'grey' by default.
#'@param dots Array of same dimensions as 'var' or with dimensions
#' c(n, dim(var)), where n is the number of dot/symbol layers to add to the
#' plot. A value of TRUE at a grid cell will draw a dot/symbol on the
#' corresponding square of the plot. By default all layers provided in 'dots'
#' are plotted with dots, but a symbol can be specified for each of the
#' layers via the parameter 'dot_symbol'.
#'@param bar_titles Optional vector of character strings providing the titles to
#' be shown on top of each of the colour bars.
#'@param legend_scale Scale factor for the size of the colour bar labels. Takes
#' 1 by default.
#'@param cex_bar_titles Scale factor for the sizes of the bar titles. Takes 1.5
#' by default.
#'@param plot_margin Numeric vector of length 4 for the margin sizes in the
#' following order: bottom, left, top, and right. If not specified, use the
#' default of par("mar"), c(5.1, 4.1, 4.1, 2.1). Used as 'margin_scale' in
#' s2dv::PlotEquiMap.
#'@param fileout File where to save the plot. If not specified (default) a
#' graphics device will pop up. Extensions allowed: eps/ps, jpeg, png, pdf, bmp
#' and tiff
#'@param width File width, in the units specified in the parameter size_units
#' (inches by default). Takes 8 by default.
#'@param height File height, in the units specified in the parameter size_units
#' (inches by default). Takes 5 by default.
#'@param size_units Units of the size of the device (file or window) to plot in.
#' Inches ('in') by default. See ?Devices and the creator function of the
#' corresponding device.
#'@param res Resolution of the device (file or window) to plot in. See ?Devices
#' and the creator function of the corresponding device.
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#'@param drawleg Where to draw the common colour bar. Can take values TRUE,
#' FALSE or:\cr
#' 'up', 'u', 'U', 'top', 't', 'T', 'north', 'n', 'N'\cr
#' 'down', 'd', 'D', 'bottom', 'b', 'B', 'south', 's', 'S' (default)\cr
#' 'right', 'r', 'R', 'east', 'e', 'E'\cr
#' 'left', 'l', 'L', 'west', 'w', 'W'
#'@param return_leg A logical value indicating if the color bars information
#' should be returned by the function. If TRUE, the function doesn't plot the
#' color bars but still creates the layout with color bar areas, and the
#' arguments for GradientCatsColorBar() or ColorBar() will be returned. It is
#' convenient for users to adjust the color bars manually. The default is
#' FALSE, the color bars will be plotted directly.
#'@param ... Additional parameters to be passed on to \code{PlotEquiMap}.
#'
#'@examples
#'# Simple example
#'x <- array(1:(20 * 10), dim = c(lat = 10, lon = 20)) / 200
#'a <- x * 0.6
#'b <- (1 - x) * 0.6
#'c <- 1 - (a + b)
#'lons <- seq(0, 359.5, length = 20)
#'lats <- seq(-89.5, 89.5, length = 10)
#'\dontrun{
#'PlotCombinedMap(list(a, b, c), lons, lats,
#' toptitle = 'Maximum map',
#' map_select_fun = max,
#' display_range = c(0, 1),
#' bar_titles = paste('% of belonging to', c('a', 'b', 'c')),
#' brks = 20, width = 12, height = 10)
#'
#'Lon <- c(0:40, 350:359)
#'Lat <- 51:26
#'data <- rnorm(51 * 26 * 3)
#'dim(data) <- c(map = 3, lon = 51, lat = 26)
#'mask <- sample(c(0,1), replace = TRUE, size = 51 * 26)
#'dim(mask) <- c(lat = 26, lon = 51)
#'\dontrun{
#'PlotCombinedMap(data, lon = Lon, lat = Lat, map_select_fun = max,
#' display_range = range(data), mask = mask,
#' width = 14, height = 10)
#'@seealso \code{PlotCombinedMap} and \code{PlotEquiMap}
#'
#'@importFrom s2dv PlotEquiMap ColorBar
#'@importFrom maps map
#'@importFrom graphics box image layout mtext par plot.new
#'@importFrom grDevices adjustcolor bmp colorRampPalette dev.cur dev.new dev.off
#' hcl jpeg pdf png postscript svg tiff
#'@export
PlotCombinedMap <- function(maps, lon, lat,
map_select_fun, display_range,
map_dim = 'map',
brks = NULL, cols = NULL,
bar_limits = NULL, triangle_ends = c(F, F), col_inf = NULL, col_sup = NULL,
col_unknown_map = 'white',
mask = NULL, col_mask = 'grey',
cex_bar_titles = 1.5,
plot_margin = NULL, bar_extra_margin = c(2, 0, 2, 0),
size_units = 'in', res = 100, drawleg = T, return_leg = FALSE,
...) {
args <- list(...)
# If there is any filenames to store the graphics, process them
# to select the right device
if (!is.null(fileout)) {
.SelectDevice <- utils::getFromNamespace(".SelectDevice", "s2dv")
deviceInfo <- .SelectDevice(fileout = fileout, width = width, height = height,
units = size_units, res = res)
saveToFile <- deviceInfo$fun
fileout <- deviceInfo$files
}
# Check probs
error <- FALSE
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if (is.list(maps)) {
if (length(maps) < 1) {
stop("Parameter 'maps' must be of length >= 1 if provided as a list.")
}
check_fun <- function(x) {
is.numeric(x) && (length(dim(x)) == 2)
}
if (!all(sapply(maps, check_fun))) {
error <- TRUE
}
ref_dims <- dim(maps[[1]])
equal_dims <- all(sapply(maps, function(x) identical(dim(x), ref_dims)))
if (!equal_dims) {
stop("All arrays in parameter 'maps' must have the same dimension ",
"sizes and names when 'maps' is provided as a list of arrays.")
}
num_maps <- length(maps)
maps <- unlist(maps)
dim(maps) <- c(ref_dims, map = num_maps)
map_dim <- 'map'
}
if (!is.numeric(maps)) {
error <- TRUE
}
if (is.null(dim(maps))) {
error <- TRUE
}
if (length(dim(maps)) != 3) {
error <- TRUE
}
if (error) {
stop("Parameter 'maps' must be either a numeric array with 3 dimensions ",
" or a list of numeric arrays of the same size with the 'lon' and ",
"'lat' dimensions.")
}
dimnames <- names(dim(maps))
# Check map_dim
if (is.character(map_dim)) {
if (is.null(dimnames)) {
stop("Specified a dimension name in 'map_dim' but no dimension names provided ",
"in 'maps'.")
}
map_dim <- which(dimnames == map_dim)
if (length(map_dim) < 1) {
stop("Dimension 'map_dim' not found in 'maps'.")
} else {
map_dim <- map_dim[1]
}
} else if (!is.numeric(map_dim)) {
stop("Parameter 'map_dim' must be either a numeric value or a ",
"dimension name.")
}
if (length(map_dim) != 1) {
stop("Parameter 'map_dim' must be of length 1.")
}
map_dim <- round(map_dim)
# Work out lon_dim and lat_dim
lon_dim <- NULL
if (!is.null(dimnames)) {
lon_dim <- which(dimnames %in% c('lon', 'longitude'))[1]
}
if (length(lon_dim) < 1) {
lon_dim <- (1:3)[-map_dim][1]
}
lon_dim <- round(lon_dim)
lat_dim <- NULL
if (!is.null(dimnames)) {
lat_dim <- which(dimnames %in% c('lat', 'latitude'))[1]
}
if (length(lat_dim) < 1) {
lat_dim <- (1:3)[-map_dim][2]
}
lat_dim <- round(lat_dim)
# Check lon
if (!is.numeric(lon)) {
stop("Parameter 'lon' must be a numeric vector.")
}
if (length(lon) != dim(maps)[lon_dim]) {
stop("Parameter 'lon' does not match the longitude dimension in 'maps'.")
}
# Check lat
if (!is.numeric(lat)) {
stop("Parameter 'lat' must be a numeric vector.")
}
if (length(lat) != dim(maps)[lat_dim]) {
stop("Parameter 'lat' does not match the longitude dimension in 'maps'.")
}
# Check map_select_fun
if (is.numeric(map_select_fun)) {
if (length(dim(map_select_fun)) != 2) {
stop("Parameter 'map_select_fun' must be an array with dimensions ",
"'lon' and 'lat' if provided as an array.")
}
if (!identical(dim(map_select_fun), dim(maps)[-map_dim])) {
stop("The dimensions 'lon' and 'lat' in the 'map_select_fun' array must ",
"have the same size, name and order as in the 'maps' parameter.")
}
}
if (!is.function(map_select_fun)) {
stop("The parameter 'map_select_fun' must be a function or a numeric array.")
}
# Generate the desired brks and cols. Only nmap, brks, cols, bar_limits, and
# bar_titles matter here because plot = F.
var_limits_maps <- range(maps, na.rm = TRUE)
if (is.null(bar_limits)) bar_limits <- display_range
nmap <- dim(maps)[map_dim]
colorbar <- GradientCatsColorBar(nmap = nmap,
brks = brks, cols = cols, vertical = FALSE,
subsampleg = NULL, bar_limits = bar_limits,
var_limits = var_limits_maps,
triangle_ends = triangle_ends, col_inf = col_inf, col_sup = col_sup, plot = FALSE, draw_separators = TRUE,
bar_titles = bar_titles, title_scale = cex_bar_titles, label_scale = legend_scale * 1.5,
extra_margin = bar_extra_margin)
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# Check legend_scale
if (!is.numeric(legend_scale)) {
stop("Parameter 'legend_scale' must be numeric.")
}
# Check col_unknown_map
if (!is.character(col_unknown_map)) {
stop("Parameter 'col_unknown_map' must be a character string.")
}
# Check col_mask
if (!is.character(col_mask)) {
stop("Parameter 'col_mask' must be a character string.")
}
# Check mask
if (!is.null(mask)) {
if (!is.numeric(mask)) {
stop("Parameter 'mask' must be numeric.")
}
if (length(dim(mask)) != 2) {
stop("Parameter 'mask' must have two dimensions.")
}
if ((dim(mask)[1] != dim(maps)[lat_dim]) ||
(dim(mask)[2] != dim(maps)[lon_dim])) {
stop("Parameter 'mask' must have dimensions c(lat, lon).")
}
}
# Check dots
if (!is.null(dots)) {
if (length(dim(dots)) != 2) {
stop("Parameter 'mask' must have two dimensions.")
}
if ((dim(dots)[1] != dim(maps)[lat_dim]) ||
(dim(dots)[2] != dim(maps)[lon_dim])) {
stop("Parameter 'mask' must have dimensions c(lat, lon).")
}
}
#----------------------
# Identify the most likely map
#----------------------
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if (!is.null(colorbar$col_sup[[1]])) {
brks_norm <- vector('list', length = nmap)
range_width <- vector('list', length = nmap)
slightly_tune_val <- vector('list', length = nmap)
for (ii in 1:nmap) {
brks_norm[[ii]] <- seq(0, 1, length.out = length(colorbar$brks[[ii]]) + 1) # add one break for col_sup
slightly_tune_val[[ii]] <- brks_norm[[ii]][2] / (length(brks_norm[[ii]]) * 2)
range_width[[ii]] <- diff(range(colorbar$brks[[ii]]))
}
ml_map <- apply(maps, c(lat_dim, lon_dim), function(x) {
if (any(is.na(x))) {
res <- NA
} else {
res <- which(x == map_select_fun(x))
if (length(res) > 0) {
res <- res_ind <- res[1]
if (map_select_fun(x) < display_range[1] || map_select_fun(x) > display_range[2]) {
res <- -0.5
} else {
if (map_select_fun(x) > tail(colorbar$brks[[res_ind]], 1)) { # col_sup
res <- res + 1 - slightly_tune_val[[res_ind]]
} else {
res <- res + ((map_select_fun(x) - colorbar$brks[[res_ind]][1]) /
range_width[[res_ind]] * ((length(brks_norm[[res_ind]]) - 2) / (length(brks_norm[[res_ind]]) - 1)))
if (map_select_fun(x) == colorbar$brks[[res_ind]][1]) {
res <- res + slightly_tune_val[[res_ind]]
}
}
}
} else {
res <- -0.5
}
}
res
})
} else {
brks_norm <- vector('list', length = nmap)
range_width <- display_range[2] - display_range[1] #vector('list', length = nmap)
slightly_tune_val <- vector('list', length = nmap)
for (ii in 1:nmap) {
brks_norm[[ii]] <- seq(0, 1, length.out = length(colorbar$brks[[ii]]))
slightly_tune_val[[ii]] <- brks_norm[[ii]][2] / (length(brks_norm[[ii]]) * 2)
}
ml_map <- apply(maps, c(lat_dim, lon_dim), function(x) {
if (any(is.na(x))) {
res <- NA
} else {
res <- which(x == map_select_fun(x))
if (length(res) > 0) {
res <- res[1]
if (map_select_fun(x) < display_range[1] ||
map_select_fun(x) > display_range[2]) {
res <- -0.5
} else {
res <- res + (map_select_fun(x) - display_range[1]) / range_width
if (map_select_fun(x) == display_range[1]) {
res <- res + slightly_tune_val
}
}
} else {
res <- -0.5
}
}
res
})
}
nlat <- length(lat)
nlon <- length(lon)
#----------------------
# Set latitudes from minimum to maximum
#----------------------
if (lat[1] > lat[nlat]) {
lat <- lat[nlat:1]
indices <- list(nlat:1, TRUE)
ml_map <- do.call("[", c(list(x = ml_map), indices))
if (!is.null(mask)){
mask <- mask[nlat:1, ]
}
}
#----------------------
# Set layout and parameters
#----------------------
# Open connection to graphical device
if (!is.null(fileout)) {
saveToFile(fileout)
} else if (names(dev.cur()) == 'null device') {
dev.new(units = size_units, res = res, width = width, height = height)
}
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#NOTE: I think plot.new() is not necessary in any case.
# plot.new()
#TODO: Don't hardcoded. Let users decide.
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par(font.main = 1)
# If colorbars need to be plotted, re-define layout.
if (drawleg) {
layout(matrix(c(rep(1, nmap),2:(nmap + 1)), 2, nmap, byrow = TRUE), heights = c(6, 1.5))
}
#----------------------
# Set colors and breaks and then PlotEquiMap
#----------------------
if (!is.null(colorbar$col_sup[[1]])) {
tcols <- c(col_unknown_map, colorbar$cols[[1]], colorbar$col_sup[[1]])
tbrks <- c(-1, brks_norm[[1]] + rep(1, each = length(brks_norm[[1]])))
for (k in 2:nmap) {
tcols <- append(tcols, c(col_unknown_map, colorbar$cols[[k]], colorbar$col_sup[[k]]))
tbrks <- c(tbrks, brks_norm[[k]] + rep(k, each = length(brks_norm[[k]])))
}
} else { # original code
tcols <- c(col_unknown_map, colorbar$cols[[1]])
tbrks <- c(-1, brks_norm[[1]] + rep(1, each = length(brks_norm[[1]])))
for (k in 2:nmap) {
tcols <- append(tcols, c(col_unknown_map, colorbar$cols[[k]]))
tbrks <- c(tbrks, brks_norm[[k]] + rep(k, each = length(brks_norm[[k]])))
}
if (is.null(plot_margin)) {
plot_margin <- c(5, 4, 4, 2) + 0.1 # default of par()$mar
}
PlotEquiMap(var = ml_map, lon = lon, lat = lat,
brks = tbrks, cols = tcols, drawleg = FALSE,
filled.continents = FALSE, dots = dots, margin_scale = plot_margin, ...)
#----------------------
# Add overplot on top
#----------------------
if (!is.null(mask)) {
dims_mask <- dim(mask)
latb <- sort(lat, index.return = TRUE)
dlon <- lon[2:dims_mask[2]] - lon[1:(dims_mask[2] - 1)]
wher <- which(dlon > (mean(dlon) + 1))
if (length(wher) > 0) {
lon[(wher + 1):dims_mask[2]] <- lon[(wher + 1):dims_mask[2]] - 360
}
lonb <- sort(lon, index.return = TRUE)
cols_mask <- sapply(seq(from = 0, to = 1, length.out = 10),
function(x) adjustcolor(col_mask, alpha.f = x))
image(lonb$x, latb$x, t(mask)[lonb$ix, latb$ix],
axes = FALSE, col = cols_mask,
breaks = seq(from = 0, to = 1, by = 0.1),
xlab='', ylab='', add = TRUE, xpd = TRUE)
if (!exists('coast_color')) {
coast_color <- 'black'
}
if (min(lon) < 0) {
map('world', interior = FALSE, add = TRUE, lwd = 1, col = coast_color) # Low resolution world map (lon -180 to 180).
} else {
map('world2', interior = FALSE, add = TRUE, lwd = 1, col = coast_color) # Low resolution world map (lon 0 to 360).
}
box()
}
#----------------------
# Add colorbars
#----------------------
if ('toptitle' %in% names(args)) {
size_title <- 1
if ('title_scale' %in% names(args)) {
size_title <- args[['title_scale']]
}
old_mar <- par('mar')
old_mar[3] <- old_mar[3] - (2 * size_title + 1)
par(mar = old_mar)
}
GradientCatsColorBar(nmap = dim(maps)[map_dim],
brks = colorbar$brks, cols = colorbar$cols, vertical = FALSE,
subsampleg = NULL, bar_limits = bar_limits,
var_limits = var_limits_maps,
triangle_ends = triangle_ends, col_inf = colorbar$col_inf, col_sup = colorbar$col_sup,
plot = TRUE, draw_separators = TRUE,
bar_titles = bar_titles, title_scale = cex_bar_titles, label_scale = legend_scale * 1.5,
extra_margin = bar_extra_margin)
if (!return_leg) {
# If the graphic was saved to file, close the connection with the device
if (!is.null(fileout)) dev.off()
}
if (return_leg) {
tmp <- list(nmap = dim(maps)[map_dim],
brks = colorbar$brks, cols = colorbar$cols, vertical = FALSE,
subsampleg = NULL, bar_limits = bar_limits,
var_limits = var_limits_maps,
triangle_ends = triangle_ends, col_inf = colorbar$col_inf, col_sup = colorbar$col_sup,
plot = TRUE, draw_separators = TRUE,
bar_titles = bar_titles, title_scale = cex_bar_titles, label_scale = legend_scale * 1.5,
extra_margin = bar_extra_margin)
return(tmp)
#NOTE: The device is not off! Can keep plotting the color bars.
}