Nothing
R/quicklook.R
In cmsafvis: Tools to Visualize CM SAF NetCDF Data
Defines functions
quicklook
Documented in
quicklook
#'Create a quicklook of NetCDF data
#'
#'The function creates a plot of the variables in NetCDF file(s) specified in the config file.
#'Only NetCDF files that conform to the [CM SAF naming convention](https://www.cmsaf.eu/EN/Products/NamingConvention/Naming_Convention_node.html) are supported.
#'
#'@param filelist list of NetCDF file to create plots from (character).
#'@param config filename of configuration file. This may include the directory
#' (character).
#'@param outpath directory in which to save the output files.
#' (character).
#'@param jpeg_quality jpeg quality for the image in percent, see [grDevices::jpeg()][grDevices::png()]
#'@param dpi resolution of the image in dots per inch, see [grDevices::jpeg()][grDevices::png()]
#'@param iwidth width of the resulting image in pixels, see [grDevices::jpeg()][grDevices::png()]
#'@param logo logical; should the cmsaf logo be added to the plot?
#'@param copyright logical; should the copyright text be added to the plot?
#'@param maxpixels logical; use actual number of pixels or default (100000)
#'@param bluemarble logical; should the data be plotted onto a NASA bluemarble (only available for MSG/Seviri based data)?
#' Due to data size this option is not available for the cmsafvis package on CRAN. Please have a look at
#' our website https://www.cmsaf.eu/R_toolbox
#'@param verbose logical; if TRUE, progress messages are shown
#'
#'@return A jpeg file with the same name as the original NetCDF file.
#'@details This operator can be applied using a configuration file (quicklook_config.yml).
#'An example config file can be found in the extdata folder of this package. The following
#'parameters can be defined:
#'\itemize{
#' \item logo: color / black
#' \item slot: numeric (e.g., 13)
#' \item invert_col: TRUE / FALSE
#' \item Dataset: character (e.g., ICDR Seviri Radiation)
#' \item limits: min: numeric; max: numeric
#' \item legend: TRUE / FALSE
#' \item colorscale: character (e.g., Viridis)
#' \item unit: character (e.g., Percent / '%')
#' \item var_name: character (e.g., Percent / '%')
#' \item bluemarble: TRUE / FALSE
#' \item mirror_data: TRUE / FALSE / NP / SP
#' \item namin: numeric (e.g., 2e-04), minimum in case of no data
#' \item logmin: numeric (e.g., 0.2), minimum in case of log-scale
#' \item scale_factor: numeric (e.g., 1)
#' \item smooth_factor: numeric (e.g., 1)
#' \item aux_file: path to optional aux-file, including CLAAS level 2 lon/ lat data
#' \item sysd: path to optional sysdata.rda file, which includes bluemarble data
#' \item remap: remap data to regular grid. TRUE / FALSE
#' \item tri_up: plot upper triangle on colorscale. TRUE / FALSE
#' \item tri_down: plot lower triangle on colorscale. TRUE / FALSE
#' }
#'@export
#'@importFrom assertthat assert_that is.count is.flag is.readable is.writeable
quicklook <- function(config,
filelist,
outpath = getwd(),
jpeg_quality = 100,
dpi = 150,
iwidth = 1242,
logo = TRUE,
copyright = TRUE,
bluemarble = FALSE,
maxpixels = TRUE,
verbose = TRUE) {
# Make sure that any user settings are reset when the function exits
# This is a requirement by CRAN
oldpar <- graphics::par(no.readonly = TRUE)
# Warning: In graphics::par(oldpar) : par(new) ohne Plot aufgerufen
on.exit(suppressWarnings(graphics::par(oldpar)))
# temporarly switch warnings off due to unwanted crs warnings
oldw <- getOption("warn")
options(warn = -1)
on.exit(options(warn = oldw))
### check parameters ###
assert_that(is.string(config))
assert_that(file.exists(normalizePath(config, mustWork = FALSE)))
assert_that(!is.dir(config))
assert_that(is.readable(config))
assert_that(all(file.exists(filelist)))
for (file_ in filelist) {
assert_that(is.readable(file_))
}
assert_that(is.dir(outpath))
assert_that(is.writeable(outpath))
assert_that(is.count(jpeg_quality))
assert_that(0 <= jpeg_quality && jpeg_quality <= 100)
assert_that(is.count(dpi))
assert_that(is.count(iwidth))
assert_that(is.flag(logo))
assert_that(is.flag(copyright))
assert_that(is.flag(bluemarble))
### Define helper function: Code from R-package plotrix 3.8-2
### Plotrix: a package in the red light district of R
### Author: J. Lemon
getYmult <- function() {
if(grDevices::dev.cur() == 1) {
warning("No graphics device open.")
ymult <- 1
}
else {
# get the plot aspect ratio
xyasp <- graphics::par("pin")
# get the plot coordinate ratio
xycr <- diff(graphics::par("usr"))[c(1,3)]
ymult <- xyasp[1]/xyasp[2]*xycr[2]/xycr[1]
}
return(ymult)
}
draw.circle <- function(x, y, radius, nv=100, border=NULL, col=NA,
lty=1, density=NULL, angle=45, lwd = 1) {
xylim <- graphics::par("usr")
plotdim <- graphics::par("pin")
ymult <- getYmult()
angle.inc <- 2*pi/nv
angles <- seq(0,2*pi-angle.inc, by = angle.inc)
if(length(col) < length(radius))
col <- rep(col, length.out = length(radius))
for(circle in 1:length(radius)) {
xv <- cos(angles)*radius[circle]+x
yv <- sin(angles)*radius[circle]*ymult+y
graphics::polygon(xv, yv, border = border, col = col[circle], lty = lty,
density = density, angle = angle, lwd = lwd)
}
invisible(list(x = xv, y = yv))
}
### End of code from plotrix R-package
### Build colorpalettes ###
palettes <- GetPaletteConfig(gui = TRUE)
names(palettes) <- tolower(names(palettes))
names(palettes)[names(palettes) == "typ"] <- "type"
# add more color schemes
new_row <- data.frame("more", NA, NA, NA, NA, NA, NA, NA, NA, NA, 1)
names(new_row) <- names(palettes)
palettes <- rbind(palettes, new_row)
rownames(palettes)[79] <- "tim.colors"
palettes <- rbind(palettes, new_row)
rownames(palettes)[80] <- "sunny"
palettes <- rbind(palettes, new_row)
rownames(palettes)[81] <- "cloud_mask1"
palettes <- rbind(palettes, new_row)
rownames(palettes)[82] <- "cloud_mask2"
palettes <- rbind(palettes, new_row)
rownames(palettes)[83] <- "larry"
palettes <- rbind(palettes, new_row)
rownames(palettes)[84] <- "albedo"
palettes <- rbind(palettes, new_row)
rownames(palettes)[85] <- "albedo2"
cloud_mask1 <- c("black", "transparent", "gray60", "white")
cloud_mask2 <- c("transparent", "transparent", "gray60", "white", "white")
### Read and format logo ###
if (logo) {
lf_black <- ifelse(logo == "color","CMSAF_NoName_Colour_crop.png","CMSAF_NoName_Black.png")
logo_cmsaf_path_black <- system.file(
"extdata",
lf_black,
package = "cmsafvis",
mustWork = TRUE
)
# Size and location of the logo
xwidth <- iwidth
logo.scale_black <- 0.3
logo.x <- 0
logo.y <- 0
logo_cmsaf_black <- png::readPNG(logo_cmsaf_path_black)
dims_black <- dim(logo_cmsaf_black)[1:2]
logo.height_black <- logo.scale_black * iwidth * dims_black[1] / dims_black[2]
if (logo.scale_black * iwidth * dims_black[1] / dims_black[2] < 45) {
logo.height_black <- 45
logo.scale_black <- logo.height_black / dims_black[1] * dims_black[2] / iwidth
}
# Prepare color logo
lf_color <- "CMSAF_NoName_Colour_crop.png"
logo_cmsaf_path_color <- system.file(
"extdata",
lf_color,
package = "cmsafvis",
mustWork = TRUE
)
# Size and location of the logo
logo.scale_color <- 0.3
logo.x <- 0
logo.y <- 0
logo_cmsaf_color <- png::readPNG(logo_cmsaf_path_color)
dims_color <- dim(logo_cmsaf_color)[1:2]
logo.height_color <- logo.scale_color * iwidth * dims_color[1] / dims_color[2]
if (logo.scale_color * iwidth * dims_color[1] / dims_color[2] < 45) {
logo.height_color <- 45
logo.scale_color <- logo.height_color / dims_color[1] * dims_color[2] / iwidth
}
text.x <- 0.99
text.y <- 0.01
lsb <- logo.scale_black
lsc <- logo.scale_color
}
ind360 <- FALSE # indicator for longitude 0 to 360
### Read config file ###
configParams <- yaml::read_yaml(config)
# loop over files in filelist
for (ifile in 1:length(filelist)) {
suppressWarnings(reset_par()) # just to be sure
invisible(grDevices::dev.off())
plotfile <- filelist[ifile]
ref_file <- plotfile[1]
file_info <- get_file_info(ref_file)
iwidth <- xwidth
# check config entry
if (sum(grepl(file_info$id, configParams)) == 1) {
if (verbose) {
cat("Config entry found for: ", basename(ref_file), sep = "")
cat ("\n")
}
} else {
if (verbose) {
cat("!!! Warning !!! Config entry missing for: ",
basename(ref_file)," ", file_info$id, sep = "")
cat ("\n")
}
next
}
varnames <- c()
units <- c()
bluemarbles <- c()
plot_lim <- c()
col_from_config <- c()
legends <- c()
logos <- c()
slots <- c()
invert <- c()
set_unit <- c()
set_vname <- c()
marble <- c()
sysd <- c()
auxf <- c()
mirror <- c()
namin <- c()
logmin <- c()
logsc <- c()
scalef <- c()
smoothf <- c()
tick_lab <- vector(mode = "list", length = 1)
remap_q <- FALSE
triup <- c()
tridown <- c()
# define plotting area in case of polar projection
area <- ""
if (grepl("North", file_info$area)) area <- "NP"
if (grepl("South", file_info$area)) area <- "SP"
if (grepl("Global", file_info$area)) area <- "GL"
vars <- names(configParams[[file_info$product_type]][[file_info$id]])
vars <- vars[!(vars %in% c("remap", "aux_file", "Dataset"))]
nvars <- length(vars)
# no plot variables found
assert_that(nvars > 0) # TODO Improve error message so that user knows how to fix the problem.
is_multiplot <- nvars > 1
dataset_name <- configParams[[file_info$product_type]][[file_info$id]]$Dataset
for (i in seq_along(vars)) {
limits <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$limits
plot_lim <- rbind(plot_lim, c(limits$min, limits$max))
legends <- c(legends, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$legend)
slots <- c(slots, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$slot)
marble <- c(marble, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$bluemarble)
isysd <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$sysdata
if (!is.null(isysd)) sysd <- isysd
imap <- configParams[[file_info$product_type]][[file_info$id]]$remap
if (!is.null(imap)) remap_q <- imap
iauxf <- configParams[[file_info$product_type]][[file_info$id]]$aux_file
if (!is.null(iauxf)) auxf <- iauxf
iinvert <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$invert_col
if (is.null(iinvert)) {
iinvert <- FALSE
}
invert <- append(invert, iinvert)
imirror <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$mirror_data
if (is.null(imirror)) {
imirror <- FALSE
}
mirror <- append(mirror, imirror)
scfa <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$scale_factor
if (is.null(scfa)) {
scfa <- 1.0
}
scalef <- append(scalef, scfa)
inamin <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$namin
if (is.null(inamin)) {
inamin <- NA
}
namin <- append(namin, inamin)
ilogmin <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$logmin
if (is.null(ilogmin)) {
ilogmin <- NA
}
logmin <- append(logmin, ilogmin)
tl <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$tick_lab
if (is.null(tl)) {
tl <- NA
}
tick_lab[[i]] <- tl
smfa <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$smooth_factor
if (is.null(smfa)) {
smfa <- NA
}
smoothf <- append(smoothf, smfa)
iunit <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$unit
if (is.null(iunit)) {
iunit <- NA
}
set_unit <- append(set_unit, iunit)
ivname <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$var_name
if (is.null(ivname)) {
ivname <- NA
}
set_vname <- append(set_vname, ivname)
ilogsc <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$log_scale
if (is.null(ilogsc)) {
ilogsc <- FALSE
}
logsc <- append(logsc, ilogsc)
itriup <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$tri_up
if (is.null(itriup)) {
itriup <- FALSE
}
triup <- append(triup, itriup)
itridown <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$tri_down
if (is.null(itridown)) {
itridown <- FALSE
}
tridown <- append(tridown, itridown)
col_from_config <- c(col_from_config, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$colorscale)
if (logo) logos <- c(logos, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$logo)
}
mirror <- toupper(mirror)
### Read infiles ###
nc <- ncdf4::nc_open(ref_file)
vars2 <- names(nc$var)[toupper(names(nc$var)) %in% toupper(vars)]
vars <- vars2[order(match(toupper(vars2),toupper(vars)))]
nvars <- length(vars)
# no plot variables found
assert_that(nvars > 0) # TODO Improve error message so that user knows how to fix the problem.
for (k in seq_along(vars)) {
varnames <- c(varnames, ncdf4::ncatt_get(nc, vars[k], "long_name")$value)
units <- c(units, ncdf4::ncatt_get(nc, vars[k], "units")$value)
bluemarbles <- c(bluemarbles, bluemarble)
if (!is.null(set_unit)){
if (!is.na(set_unit[k])){
units[k] <- set_unit[k]
}
}
if (!is.na(set_vname[k])){
varnames[k] <- set_vname[k]
}
if (!is.null(marble)){
if (!is.na(marble[k])){
bluemarbles[k] <- marble[k]
}
}
# define some global variables, which are part of the bluemarble data
if (!is.null(sysd)) {
if (file.exists(sysd)) {
cat("Loading sysdata file...", "\n")
load(sysd)
} else {
cat("WARNING, sysdata file not found!", "\n")
}
}
}
# check lon lat names (not elegant, but should work for now)
lonvar <- "lon"
latvar <- "lat"
if ("lon" %in% names(nc$dim)) lonvar <- "lon"
if ("longitude" %in% names(nc$dim)) lonvar <- "longitude"
if ("Longitude" %in% names(nc$dim)) lonvar <- "Longitude"
if ("lat" %in% names(nc$dim)) latvar <- "lat"
if ("latitude" %in% names(nc$dim)) latvar <- "latitude"
if ("Latitude" %in% names(nc$dim)) latvar <- "Latitude"
if (lonvar %in% names(nc$dim)) {
lon_min <- min(ncdf4::ncvar_get(nc, lonvar), na.rm = TRUE)
lon_max <- max(ncdf4::ncvar_get(nc, lonvar), na.rm = TRUE)
lat_min <- min(ncdf4::ncvar_get(nc, latvar), na.rm = TRUE)
lat_max <- max(ncdf4::ncvar_get(nc, latvar), na.rm = TRUE)
dlon <- round(ncdf4::ncvar_get(nc, lonvar)[2] - ncdf4::ncvar_get(nc, lonvar)[1], digits = 2)
dlat <- round(ncdf4::ncvar_get(nc, latvar)[2] - ncdf4::ncvar_get(nc, latvar)[1], digits = 2)
lond <- ncdf4::ncvar_get(nc, lonvar)
latd <- ncdf4::ncvar_get(nc, latvar)
lonv <- as.vector(lond)
latv <- as.vector(latd)
lonv <- seq(min(lonv), max(lonv), length.out = length(lonv))
latv <- seq(min(latv), max(latv), length.out = length(latv))
} else {
if (is.null(auxf) & area != "NP" & area != "SP") {
stop("unable to get a lon / lat reference")
}
}
if (ncdf4::ncatt_get(nc, 0, "geospatial_lon_max")$hasatt) {
lon_min <- ncdf4::ncatt_get(nc, 0, "geospatial_lon_min")$value
lon_max <- ncdf4::ncatt_get(nc, 0, "geospatial_lon_max")$value
lat_min <- ncdf4::ncatt_get(nc, 0, "geospatial_lat_min")$value
lat_max <- ncdf4::ncatt_get(nc, 0, "geospatial_lat_max")$value
}
if (lon_max > 350) {
ind360 <- TRUE
lon_max_org <- lon_max
lon_min_org <- lon_min
lon_max <- 180 - lon_min_org
lon_min <- 180 - lon_max_org
}
if (area == "NP" | area == "SP") {
lond <- ncdf4::ncvar_get(nc, lonvar)
latd <- ncdf4::ncvar_get(nc, latvar)
}
# get time info for all slots
date.time <- ncdf4::ncvar_get(nc,"time")
t_unit <- ncdf4::ncatt_get(nc,"time","units")$value
date.time <- cmsafops::get_time(t_unit,date.time)
date.time <- date.time[slots]
ncdf4::nc_close(nc)
### Set aspect ###
lon_range <- lon_max - lon_min
lat_range <- lat_max - lat_min
aspect <- lon_range/lat_range
if (area == "NP" | area == "SP") {
iheight <- round(iwidth*0.94)
} else if (area == "GL") {
iheight <- round((iwidth/aspect)*1.04)
} else {
iheight <- round((iwidth/aspect)*0.95)
}
if (logo) {
if (area == "NP" | area == "SP") {
AR_color <- dims_color[1] / dims_color[2] * iwidth / iheight
AR_black <- dims_black[1] / dims_black[2] * iwidth / iheight
} else {
AR_color <- dims_color[1] / dims_color[2] * lon_range / lat_range
AR_black <- dims_black[1] / dims_black[2] * lon_range / lat_range
}
}
if (logo) {
if (area == "GL") {
logo.scale_black <- 0.18
logo.height_black <- logo.scale_black * iwidth * dims_black[1] / dims_black[2]
if (logo.scale_black * iwidth * dims_black[1] / dims_black[2] < 30) {
logo.height_black <- 30
logo.scale_black <- logo.height_black / dims_black[1] * dims_black[2] / iwidth
}
logo.scale_color <- 0.18
logo.height_color <- logo.scale_color * iwidth * dims_color[1] / dims_color[2]
if (logo.scale_color * iwidth * dims_color[1] / dims_color[2] < 30) {
logo.height_color <- 30
logo.scale_color <- logo.height_color / dims_color[1] * dims_color[2] / iwidth
}
} else {
logo.scale_black <- lsb
logo.scale_color <- lsc
}
}
if (exists("blue_marble")) {
nc_crs <- NULL
} else {
nc_crs <- blue_marble <- NULL
}
# factor for font size
hcor <- (iheight / 750) - 1
if (hcor < 0) {
hcor <- 0
}
fsf2 <- iwidth / 1021
fsf <- round((iwidth / 1021) + hcor, digits = 2)
# Prepare polar projection
ori <- c(0, 0, 0)
if (area == "NP" | area == "SP") {
if (area == "NP") {
ori <- c(89.9, 0, 0) # orientation North Pole
}
if (area == "SP") {
ori <- c(-89.9, 0, 0) # orientation South Pole
}
nx <- dim(lond)[1]
ny <- dim(lond)[2]
}
landcol <- "gray75" # "navajowhite3"
oceancol <- "gray85" # "cadetblue3"
outcol <- "gray20"
bordercol <- "gray20"
m <- maps::map("world", plot = FALSE)
### Plot ###
oldw <- getOption("warn")
options(warn = -1)
# read data
stacks <- c()
for (k in seq_along(vars)) {
stacks <- c(stacks, raster::stack(plotfile[1], quick = TRUE, varname = vars[k]))
}
if (!is.null(nc_crs)) {
for (l in seq_along(stacks)) {
raster::crs(stacks[[l]]) <- nc_crs
}
}
for (l in seq_along(stacks)) {
raster::extent(stacks[[l]]) <- c(lon_min, lon_max, lat_min, lat_max)
}
if (!is.null(auxf)) {
if (file.exists(auxf)) {
nc <- ncdf4::nc_open(auxf)
clon <- ncdf4::ncvar_get(nc, "lon")
clat <- ncdf4::ncvar_get(nc, "lat")
ncdf4::nc_close(nc)
gc()
carray <- array(0, dim = dim(clon))
carray <- carray[!is.na(clon)]
clat <- clat[!is.na(clon)]
clon <- clon[!is.na(clon)]
} else {
cat(paste("Couldn't find aux_file: ", auxf, sep=""), "\n")
}
}
options(warn = oldw)
# filename and timestamp for title
filename <- unlist(strsplit(basename(plotfile[1]), "\\."))
outfile <- file.path(outpath, paste0(filename[1], ".jpg"))
fi <- get_file_info(filename[1])
if (is.null(slots[1])) {
file_time <- fi$date_time
slot_i <- 1
} else {
file_time <- date.time[1]
slot_i <- slots[1]
}
if (file_info$time_interval == "instantaneous" | file_info$time_interval == "hourly")
file_time <- format(file_time, "%Y-%m-%d %R")
if (!is.null(file_info$statistics)){
if (file_info$statistics == "mean diurnal cycle")
file_time <- format(file_time, "%Y-%m %R")
}
if (!is.null(file_info$statistics)){
if (file_info$time_interval == "monthly" & file_info$statistics != "mean diurnal cycle")
file_time <- format(file_time, "%Y-%m")
} else {
if (file_info$time_interval == "monthly")
file_time <- format(file_time, "%Y-%m")
}
if (is_multiplot && (ceiling(nvars/ceiling(sqrt(nvars))) == 1)) {
grDevices::jpeg(outfile,
quality = jpeg_quality,
width = iwidth,
height = 2 * iheight,
res = dpi,
pointsize = round(12 * (1/(dpi/72)))
)
} else {
grDevices::jpeg(outfile,
quality = jpeg_quality,
width = iwidth,
height = iheight,
res = dpi,
pointsize = round(12 * (1/(dpi/72)))
)
}
# Parameters for multiple plots
if (is_multiplot) {
ncols <- ceiling(sqrt(nvars))
nrows <- ceiling(nvars/ncols)
if (nrows == 1) {
graphics::par(mfrow = c(ncols, nrows))
graphics::par(mar = c(2, 0, 4, 5) + 0.1)
graphics::par(oma = c(0, 0, 1, 1))
} else {
graphics::par(mfrow = c(nrows, ncols))
graphics::par(mar = c(2, 4, 4, 6) + 0.1)
graphics::par(oma = c(0, 0, 2, 5))
}
graphics::par(family = "Liberation Sans")
} else if (area == "GL") {
graphics::par(mar = c(2, 0, 4, 5) + 0.1)
graphics::par(oma = c(0, 0, 1, 1))
graphics::par(family = "Liberation Sans")
} else {
graphics::par(mar = c(2, 4, 4, 7) + 0.1)
graphics::par(oma = c(0, 0, 1, 2))
graphics::par(family = "Liberation Sans")
}
for (j in seq_along(vars)) {
# Check bluemarble
if (bluemarbles[j] && !file_info$grid == "Satellite projection MSG/Seviri") {
stop("Bluemarble plotting is only available for CLAAS data on MSG grid.")
}
# Get raster dimensions and set maxpixels
figdim <- dim(stacks[[j]])
maxp <- 100000
if (maxpixels) {
maxp <- figdim[1] * figdim[2]
} else {
maxp <- 500000
}
# Set color palette
if (col_from_config[[1]] == "clouds") {
stacks[[j]][[1]][is.na(stacks[[j]][[1]])] <- 0
if (raster::maxValue(stacks[[j]][[1]]) == 3) {
col <- cloud_mask1
} else {
col <- cloud_mask2
}
plot_lim[j,] <- range(raster::values(stacks[[j]][[1]]),na.rm = TRUE)
} else {
if (logsc[j]) {
get_breaks <- function(x) {
lo <- floor(log10(min(x, na.rm = TRUE)))
hi <- ceiling(log10(max(x, na.rm = TRUE)))
as.vector(10 ^ (lo:hi) %o% 1:9)
}
logzero <- FALSE
tick_lim <- plot_lim[j,]
if (plot_lim[j,1] == 0) {
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
if (all(is.na(datav))) {
if (!is.na(namin[j])){
minval <- as.numeric(namin[j])
} else {
minval <- 0.001
}
} else {
if (!is.na(logmin[j])){
minval <- logmin[j]
} else {
minval <- min(datav[datav > 0], na.rm = TRUE)
}
}
tick_lim[1] <- minval
logzero <- TRUE
ticks <- get_breaks(tick_lim)
ticks_labs <- ticks
zeroval <- (0 + minval) / 2
if (ticks[1] < minval) {
zeroval <- ticks[1]
ticks_labs[1] <- "0"
} else if (!is.na(logmin[j])) {
ticks <- append(zeroval, ticks)
ticks_labs <- append("0", ticks_labs)
} else {
zeroval <- ticks[1] - (0.9 * ticks[1])
ticks <- append(zeroval, ticks)
ticks_labs <- append("0", ticks_labs)
}
# adjust plot_lim
plot_lim[j,1] <- zeroval
} else {
ticks <- get_breaks(plot_lim[j,])
ticks_labs <- ticks
}
col = getColors(col_from_config[[j]], palettes, length(ticks) - 1L, FALSE)
} else {
if (!is.na(tick_lab[[j]][1])) {
col = getColors(col_from_config[[j]], palettes, length(tick_lab[[j]]), FALSE)
} else {
col <- getColors(col_from_config[[j]], palettes, 32, FALSE)
if (col_from_config[[j]] == "terrain.colors" && remap_q) {
col <- col[1:30]
}
}
}
}
# invert colors if invert_col is TRUE
if (!is.null(invert)) {
if (invert[j]) {
col <- rev(col)
}
}
# remap data if remap_q = TRUE
if (remap_q) {
if (!is.null(auxf)) {
if (file.exists(auxf)) {
rdata <- c()
if (verbose) {
cat("Remapping...", "\n")
}
rdata <- remap4quicklook(var = vars[j], infile = plotfile, auxfile = auxf)
rdata$data <- rdata$data * scalef[j]
if (file_info$grid == "Satellite projection MSG/Seviri" || file_info$grid == "Remapped") {
file_info$grid <- "Remapped"
rep.row <- function(x, n) {
matrix(rep(x, each = n), nrow = n)
}
lon_l2 <-
replicate(length(rdata$lat), rdata$lon)
lat_l2 <-
rep.row(rdata$lat, length(rdata$lon))
datav <- as.vector(rdata$data)
a <- mapproj::mapproject(
x = lon_l2,
y = lat_l2,
projection = "orthographic",
orientation = ori
)
nx <- figdim[1]
ny <- figdim[2]
if (sum(is.na(a$x)) > 0 | sum(is.na(a$y)) > 0) {
dummy <- NULL
dummy <- !is.na(a$x)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
dummy <- NULL
dummy <- !is.na(a$y)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
}
# define grid factors
xr <-
abs(range(lon_l2, na.rm = TRUE)[1]) + abs(range(lon_l2, na.rm = TRUE)[2])
yr <-
abs(range(lat_l2, na.rm = TRUE)[1]) + abs(range(lat_l2, na.rm = TRUE)[2])
l1 <- 3.1 # max value for nx/xf
l2 <- 2.0 # max value for ny/yf
x1 <- c(40, 360)
y1 <- c(1, l1)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (xr > 40 & xr <= 360) {
xf <- c2 * xr + c1
xf <- round(xf, digits = 1)
} else {
xf <- 1
}
x1 <- c(40, 180)
y1 <- c(1, l2)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (yr > 40 & yr <= 180) {
yf <- c2 * yr + c1
yf <- round(yf, digits = 1)
} else {
yf <- 1
}
}
} else {
cat("No aux-file found! This file is a requirement for remapping.", "\n")
}
}
}
# Polar Projection Plot
if (area == "NP" || area == "SP") {
nc <- ncdf4::nc_open(plotfile)
datav <- ncdf4::ncvar_get(nc, vars[j])
ncdf4::nc_close(nc)
# Apply scale factor
datav <- datav * scalef[j]
if (!is.null(mirror)) {
if (mirror[j] == "NP" | mirror[j] == "SP" | mirror[j] == "TRUE") {
datav <- datav[dim(datav)[1]:1,]
}
}
datav <- as.vector(datav)
lonv <- as.vector(lond)
latv <- as.vector(latd)
a <-
mapproj::mapproject(
x = lonv,
y = latv,
projection = "orthographic",
orientation = ori
)
# filter Nas
if (sum(is.na(a$x)) > 0 | sum(is.na(a$y)) > 0) {
dummy <- NULL
dummy <- !is.na(a$x)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
dummy <- NULL
dummy <- !is.na(a$y)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
}
# define grid factors
xr <-
abs(range(lonv, na.rm = TRUE)[1]) + abs(range(lonv, na.rm = TRUE)[2])
yr <-
abs(range(latv, na.rm = TRUE)[1]) + abs(range(latv, na.rm = TRUE)[2])
l1 <- 3.1 # max value for nx/xf
l2 <- 2.0 # max value for ny/yf
x1 <- c(40, 360)
y1 <- c(1, l1)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (xr > 40 & xr <= 360) {
xf <- c2 * xr + c1
xf <- round(xf, digits = 1)
} else {
xf <- 1
}
x1 <- c(40, 180)
y1 <- c(1, l2)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (yr > 40 & yr <= 180) {
yf <- c2 * yr + c1
yf <- round(yf, digits = 1)
} else {
yf <- 1
}
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-0.7, 0.7),
ylim = c(-0.7, 0.7),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = " ",
col = col,
add.legend = FALSE,
axes = FALSE,
asp = 1
)
graphics::polygon(
sin(seq(0, 2 * pi, length.out = 100)),
cos(seq(0, 2 * pi, length.out = 100)),
col = oceancol,
border = grDevices::rgb(1, 1, 1, 0.5),
lwd = 1
)
suppressWarnings(
maps::map(
"world",
projection = "orthographic",
orientation = ori,
add = TRUE,
interior = FALSE,
fill = TRUE,
col = landcol,
lwd = 0.5,
resolution = 0,
border = NA
)
)
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-0.7, 0.7),
ylim = c(-0.7, 0.7),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = "text1",
col = col,
add.legend = FALSE,
axes = FALSE,
add = TRUE,
asp = 1
)
# Plot borders
suppressWarnings(
maps::map(
"world",
projection = "orthographic",
orientation = ori,
add = TRUE,
interior = FALSE,
col = outcol,
lwd = 0.5,
resolution = 0
)
)
mapproj::map.grid(
m,
nx = 18,
ny = 9,
lty = 3,
col = "gray",
cex = 0.55*fsf
)
} else {
# bluemarble plot
if (bluemarbles[j]) {
if (!is.null(sysd)) {
if (!file.exists(sysd)) {
cat("No valid bluemarble data found!", "\n")
}
}
if (!is.null(blue_marble)) {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
fields::quilt.plot(
# This is generated in data-raw/generate_internal_data.R
blue_marble$projection$x,
blue_marble$projection$y,
blue_marble$data_values,
xlim = c(-1, 1),
ylim = c(-1, 1),
nx = blue_marble$n_lon_unique / blue_marble$xf,
ny = blue_marble$n_lat_unique / blue_marble$yf,
xlab = " ",
ylab = " ",
main = "",
col = blue_marble$colors,
add.legend = FALSE,
axes = FALSE
)
raster::image(stacks[[j]] * scalef[j], y = slot_i,
main = "",
axes = FALSE,
xlab = "",
ylab = "",
col = col,
maxpixels = maxp,
add = TRUE)
} else {
stop("Bluemarble plotting is not available. See https://www.cmsaf.eu/R_toolbox")
}
} else {
# borderline plots for scale
if (file_info$grid == "Satellite projection MSG/Seviri") {
if (!is.null(blue_marble)) {
graphics::par(pty = "s")
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
fields::quilt.plot(
# This is generated in data-raw/generate_internal_data.R
blue_marble$projection$x,
blue_marble$projection$y,
blue_marble$data_values,
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = plot_lim[j,],
nx = blue_marble$n_lon_unique / blue_marble$xf,
ny = blue_marble$n_lat_unique / blue_marble$yf,
xlab = " ",
ylab = " ",
col = "gray",
add.legend = FALSE,
axes = FALSE
)
} else {
if (!is.null(auxf)) {
if (file.exists(auxf)) {
graphics::par(pty = "s")
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
fields::quilt.plot(
clon,
clat,
carray,
xlim = c(-1, 1),
ylim = c(-1, 1),
xlab = " ",
ylab = " ",
col = "gray85",
add.legend = FALSE,
axes = FALSE
)
}
} else {
stop("Bluemarble plotting is not available. No valid bluemarble data found! See https://www.cmsaf.eu/R_toolbox")
}
}
} else {
if (file_info$grid == "Remapped") {
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = " ",
col = col,
add.legend = FALSE,
axes = FALSE,
useRaster = TRUE,
asp = 1
)
graphics::polygon(
sin(seq(0, 2 * pi, length.out = 100)),
cos(seq(0, 2 * pi, length.out = 100)),
col = oceancol,
border = grDevices::rgb(1, 1, 1, 0.5),
lwd = 1
)
} else {
graphics::image(lonv, latv,
outer(lonv, latv, "+"),
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
xlab = " ",
ylab = " ",
col = "gray85",
axes = FALSE,
useRaster = TRUE,
asp = 1
)
}
}
# land plot
if (file_info$grid == "Satellite projection MSG/Seviri" || file_info$grid == "Remapped") {
if (!is.null(auxf)) {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", fill = TRUE, border = NA,
col = "gray75", orientation = ori, boundary = FALSE,
xlim = c(min(clon), max(clon)),
ylim = c(min(clat), max(clat)),
lforce = "e",
add = TRUE)
)
} else {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", fill = TRUE, border = NA,
col = "gray75", orientation = c(0,0,0), add = TRUE)
)
}
} else if (area == "GL") {
if (lon_max >= 359) {
maps::map("world2", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), wrap = c(-180, 180), add = TRUE)
} else {
maps::map("world", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), wrap = c(-180, 180), add = TRUE)
}
} else {
if (lon_max >= 359) {
maps::map("world2", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
} else {
maps::map("world", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
}
}
# plot image
# In case of values outside plot_lim, marked by a triangle, set min and max
if (triup[j]){
raster::values(stacks[[j]])[raster::values(stacks[[j]]) > plot_lim[j,2]] <- plot_lim[j,2]
if (!exists("datav")){
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
}
datav[datav > plot_lim[j,2]] <- plot_lim[j,2]
}
if (tridown[j]){
raster::values(stacks[[j]])[raster::values(stacks[[j]]) < plot_lim[j,1]] <- plot_lim[j,1]
if (!exists("datav")){
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
}
datav[datav < plot_lim[j,1]] <- plot_lim[j,1]
}
# Get subset of raster stack, which contains data to plot
plotdata <- raster::subset(stacks[[j]], slot_i)
# UTH data with 0 to 360 grid were plotted wrong,
# but the solution on Windows did not work on Linux
if (ind360) {
# raster::image(raster::rotate(stacks[[j]]),
raster::image(plotdata * scalef[j],
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
col = col,
colNA = "gray85",
asp = 1,
maxpixels = maxp,
add = TRUE
)
} else {
if (logsc[j] && !remap_q) {
rotate <- function(x) t(apply(x, 2, rev))
if (!exists("datav")){
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
}
# For log-scale values below or equal 0 are not allowed
if (logzero) {
if (!is.na(logmin[j])) {
datav[datav >= 0 & datav < logmin[j]] <- zeroval
} else {
datav[datav <= 0] <- zeroval
}
}
graphics::image(lonv, latv, log(rotate(datav)),
axis.args=list( at=log(ticks), labels=ticks),
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
zlim = log(plot_lim[j,]),
axes = FALSE,
xlab = "",
ylab = "",
col = col,
colNA = "gray85",
asp = 1,
useRaster = TRUE,
add = TRUE
)
} else {
if (!is.na(smoothf[j])) {
smp <- raster::disaggregate(stacks[[j]], fact = smoothf[j], method='bilinear')
raster::image(smp,
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
col = col,
colNA = "gray85",
asp = 1,
add = TRUE
)
} else {
if (remap_q && !is.null(auxf)) {
if (logsc[j]) {
# For log-scale values below or equal 0 are not allowed
if (logzero) {
datav[datav <= 0] <- zeroval
}
fields::quilt.plot(
a$x,
a$y,
log(datav),
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = log(plot_lim[j,]),
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = "text1",
col = col,
add.legend = FALSE,
axes = FALSE,
add = TRUE,
useRaster = TRUE,
asp = 1
)
} else {
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = "text1",
col = col,
add.legend = FALSE,
axes = FALSE,
add = TRUE,
useRaster = TRUE,
asp = 1
)
}
} else {
raster::image(plotdata * scalef[j],
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
col = col,
colNA = "gray85",
asp = 1,
maxpixels = maxp,
add = TRUE
)
}
}
}
}
# borderline plot
if (file_info$grid == "Satellite projection MSG/Seviri" || file_info$grid == "Remapped") {
if (!is.null(auxf)) {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", interior = FALSE,
col = "gray10", orientation = ori, lwd = 1.5,
xlim = c(min(clon), max(clon)),
ylim = c(min(clat), max(clat)),
lforce = "e",
add = TRUE)
)
draw.circle(0,0,0.992, border = "gray85", lwd = 5)
draw.circle(0,0,1, border = "gray35", lwd = 1)
} else {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", interior = FALSE,
col = "gray20", orientation = c(0,0,0), add = TRUE)
)
}
} else if (area == "GL") {
if (lon_max >= 359) {
maps::map("world2", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), wrap = c(-180, 180), add = TRUE)
} else {
maps::map("world", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), wrap = c(-180, 180),
lforce = "e", add = TRUE)
}
} else {
if (lon_max >= 359) {
maps::map("world2", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
} else {
maps::map("world", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
}
}
}
} # end if polar projection
# plot logo and copyright text
if (logo || copyright) {
# check figure min and max and calculate a correction
xmin <- graphics::par("usr")[1]
xmax <- graphics::par("usr")[2]
ymin <- graphics::par("usr")[3]
ymax <- graphics::par("usr")[4]
xoff <- (1 / (abs(xmin) + abs(xmax))) * (abs(xmin - lon_min) + 1)
yoff <- (1 / (abs(ymin) + abs(ymax))) * (abs(ymin - lat_min) + 1)
if (xoff <= 0 || xoff >= 0.5) xoff <- 0
if (yoff <= 0 || yoff >= 0.5) yoff <- 0
graphics::par(usr = c(0, 1, 0, 1))
if (logos[j] == "color") {
logo_cmsaf <- logo_cmsaf_color
AR <- AR_color
logo.scale <- logo.scale_color
logo.height <-
(dims_color[1]/dims_color[2] *((abs(xmin) + abs(xmax)) * logo.scale)) / (abs(ymin) + abs(ymax))
} else {
logo_cmsaf <- logo_cmsaf_black
AR <- AR_black
logo.scale <- logo.scale_black
logo.height <-
(dims_black[1]/dims_black[2] *((abs(xmin) + abs(xmax)) * logo.scale)) / (abs(ymin) + abs(ymax))
}
}
if (logo) {
graphics::rasterImage(array(0.75, dim = dim(logo_cmsaf)),
logo.x + 0.01 + xoff,
logo.y + 0.01 + yoff,
logo.x + logo.scale + 0.01 + xoff,
logo.y + logo.height + 0.01 + yoff,
interpolate = TRUE,
bg = "white")
graphics::rasterImage(logo_cmsaf,
logo.x + 0.01 + xoff,
logo.y + 0.01 + yoff,
logo.x + logo.scale + 0.01 + xoff,
logo.y + logo.height + 0.01 + yoff,
interpolate = TRUE
)
}
if (copyright) {
txt <- paste0("\u00a9 EUMETSAT, ", format.Date(Sys.Date(), "%Y"))
cr.scale <- (logo.scale - 0.02)/graphics::strwidth(txt)
dims_text <- c(round(dim(logo_cmsaf)[1]/2), dim(logo_cmsaf)[2], dim(logo_cmsaf)[3])
graphics::rasterImage(array(0.75, dim = dim(logo_cmsaf)),
text.x - logo.scale - xoff,
text.y + yoff,
text.x - xoff,
text.y + ((AR * logo.scale)/2) + yoff,
interpolate = TRUE)
graphics::text(text.x - xoff, text.y + 0.01 + yoff, txt,
cex = cr.scale,
adj = c(1,0))
}
# plot legend
# Get subset of raster stack, which contains data to plot
if (area == "NP" | area == "SP") {
plotdata <- raster::subset(stacks[[j]], slot_i)
}
if (legends[j]) {
if (logsc[j]) {
if (logzero) {
raster::plot(raster::calc(plotdata, fun=log) * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = log(plot_lim[j,]),
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf,
at=log(ticks), labels=ticks_labs),
col = col,
add = TRUE)
if (triup[j] || tridown[j]) {
fields::imagePlot(datav,
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
axis.args=list(labels = FALSE,
tick = FALSE),
col = col,
upperTriangle = triup[j],
lowerTriangle = tridown[j],
add = TRUE)
}
} else {
if (triup[j] || tridown[j]) {
fields::imagePlot(datav,
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
axis.args=list(labels = FALSE,
tick = FALSE),
col = col,
upperTriangle = triup[j],
lowerTriangle = tridown[j],
add = TRUE)
}
fields::image.plot(log(datav),
zlim = log(plot_lim[j,]),
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf,
at=log(ticks), labels=ticks_labs),
col = col,
add = TRUE)
}
} else {
if (!is.na(tick_lab[[j]][1])) {
breaks <- seq(plot_lim[j,1], plot_lim[j,2], length.out=(length(col) + 1))
labstep <- (breaks[2] - breaks[1]) / 2
labat <- seq(breaks[1]+labstep, breaks[length(breaks)]-labstep, length.out = length(tick_lab[[j]]))
graphics::par(cex=1.0)
raster::plot(plotdata * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
breaks = breaks,
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf,
at=labat,
labels=tick_lab[[j]],
las = 3),
col = col,
add = TRUE)
} else {
if (triup[j] || tridown[j]) {
fields::imagePlot(datav,
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.899,
legend.width = 1.5,
legend.mar = 5.1,
axis.args=list(labels = FALSE,
tick = FALSE),
col = col,
upperTriangle = triup[j],
lowerTriangle = tridown[j],
add = TRUE)
raster::plot(plotdata * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf),
col = col,
add = TRUE)
} else {
raster::plot(plotdata * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf),
col = col,
add = TRUE)
}
}
}
}
# figure title
if (is_multiplot) {
graphics::mtext(CapWords(varnames[j]), line = 0.4, cex = 1.25*fsf2)
}
}
# main title
if (is_multiplot) {
graphics::mtext(paste(dataset_name, file_time, sep = ", "),
side = 3,
line = -2,
outer = TRUE,
cex = 1.45*fsf2,
font = 2
)
} else {
if (nchar(paste(CapWords(varnames[1]), dataset_name, file_time, sep = ", ")) > 70){
fsf <- (fsf + fsf2) / 2
}
graphics::mtext(paste(CapWords(varnames[1]), dataset_name, file_time, sep = ", "),
side = 3,
line = -3,
outer = TRUE,
cex = 1.45*fsf,
font = 2
)
}
grDevices::dev.off()
if (exists("stacks")) rm(stacks)
if (exists("plotfile")) rm(plotfile)
if (exists("datav")) rm(datav)
gc()
}
# Clean up
if (file.exists("Rplots.pdf")) {
file.remove("Rplots.pdf")
}
gc()
}
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R Package Documentation
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Defines functions quicklook
Documented in quicklook
#'Create a quicklook of NetCDF data
#'
#'The function creates a plot of the variables in NetCDF file(s) specified in the config file.
#'Only NetCDF files that conform to the [CM SAF naming convention](https://www.cmsaf.eu/EN/Products/NamingConvention/Naming_Convention_node.html) are supported.
#'
#'@param filelist list of NetCDF file to create plots from (character).
#'@param config filename of configuration file. This may include the directory
#' (character).
#'@param outpath directory in which to save the output files.
#' (character).
#'@param jpeg_quality jpeg quality for the image in percent, see [grDevices::jpeg()][grDevices::png()]
#'@param dpi resolution of the image in dots per inch, see [grDevices::jpeg()][grDevices::png()]
#'@param iwidth width of the resulting image in pixels, see [grDevices::jpeg()][grDevices::png()]
#'@param logo logical; should the cmsaf logo be added to the plot?
#'@param copyright logical; should the copyright text be added to the plot?
#'@param maxpixels logical; use actual number of pixels or default (100000)
#'@param bluemarble logical; should the data be plotted onto a NASA bluemarble (only available for MSG/Seviri based data)?
#' Due to data size this option is not available for the cmsafvis package on CRAN. Please have a look at
#' our website https://www.cmsaf.eu/R_toolbox
#'@param verbose logical; if TRUE, progress messages are shown
#'
#'@return A jpeg file with the same name as the original NetCDF file.
#'@details This operator can be applied using a configuration file (quicklook_config.yml).
#'An example config file can be found in the extdata folder of this package. The following
#'parameters can be defined:
#'\itemize{
#' \item logo: color / black
#' \item slot: numeric (e.g., 13)
#' \item invert_col: TRUE / FALSE
#' \item Dataset: character (e.g., ICDR Seviri Radiation)
#' \item limits: min: numeric; max: numeric
#' \item legend: TRUE / FALSE
#' \item colorscale: character (e.g., Viridis)
#' \item unit: character (e.g., Percent / '%')
#' \item var_name: character (e.g., Percent / '%')
#' \item bluemarble: TRUE / FALSE
#' \item mirror_data: TRUE / FALSE / NP / SP
#' \item namin: numeric (e.g., 2e-04), minimum in case of no data
#' \item logmin: numeric (e.g., 0.2), minimum in case of log-scale
#' \item scale_factor: numeric (e.g., 1)
#' \item smooth_factor: numeric (e.g., 1)
#' \item aux_file: path to optional aux-file, including CLAAS level 2 lon/ lat data
#' \item sysd: path to optional sysdata.rda file, which includes bluemarble data
#' \item remap: remap data to regular grid. TRUE / FALSE
#' \item tri_up: plot upper triangle on colorscale. TRUE / FALSE
#' \item tri_down: plot lower triangle on colorscale. TRUE / FALSE
#' }
#'@export
#'@importFrom assertthat assert_that is.count is.flag is.readable is.writeable
quicklook <- function(config,
filelist,
outpath = getwd(),
jpeg_quality = 100,
dpi = 150,
iwidth = 1242,
logo = TRUE,
copyright = TRUE,
bluemarble = FALSE,
maxpixels = TRUE,
verbose = TRUE) {
# Make sure that any user settings are reset when the function exits
# This is a requirement by CRAN
oldpar <- graphics::par(no.readonly = TRUE)
# Warning: In graphics::par(oldpar) : par(new) ohne Plot aufgerufen
on.exit(suppressWarnings(graphics::par(oldpar)))
# temporarly switch warnings off due to unwanted crs warnings
oldw <- getOption("warn")
options(warn = -1)
on.exit(options(warn = oldw))
### check parameters ###
assert_that(is.string(config))
assert_that(file.exists(normalizePath(config, mustWork = FALSE)))
assert_that(!is.dir(config))
assert_that(is.readable(config))
assert_that(all(file.exists(filelist)))
for (file_ in filelist) {
assert_that(is.readable(file_))
}
assert_that(is.dir(outpath))
assert_that(is.writeable(outpath))
assert_that(is.count(jpeg_quality))
assert_that(0 <= jpeg_quality && jpeg_quality <= 100)
assert_that(is.count(dpi))
assert_that(is.count(iwidth))
assert_that(is.flag(logo))
assert_that(is.flag(copyright))
assert_that(is.flag(bluemarble))
### Define helper function: Code from R-package plotrix 3.8-2
### Plotrix: a package in the red light district of R
### Author: J. Lemon
getYmult <- function() {
if(grDevices::dev.cur() == 1) {
warning("No graphics device open.")
ymult <- 1
}
else {
# get the plot aspect ratio
xyasp <- graphics::par("pin")
# get the plot coordinate ratio
xycr <- diff(graphics::par("usr"))[c(1,3)]
ymult <- xyasp[1]/xyasp[2]*xycr[2]/xycr[1]
}
return(ymult)
}
draw.circle <- function(x, y, radius, nv=100, border=NULL, col=NA,
lty=1, density=NULL, angle=45, lwd = 1) {
xylim <- graphics::par("usr")
plotdim <- graphics::par("pin")
ymult <- getYmult()
angle.inc <- 2*pi/nv
angles <- seq(0,2*pi-angle.inc, by = angle.inc)
if(length(col) < length(radius))
col <- rep(col, length.out = length(radius))
for(circle in 1:length(radius)) {
xv <- cos(angles)*radius[circle]+x
yv <- sin(angles)*radius[circle]*ymult+y
graphics::polygon(xv, yv, border = border, col = col[circle], lty = lty,
density = density, angle = angle, lwd = lwd)
}
invisible(list(x = xv, y = yv))
}
### End of code from plotrix R-package
### Build colorpalettes ###
palettes <- GetPaletteConfig(gui = TRUE)
names(palettes) <- tolower(names(palettes))
names(palettes)[names(palettes) == "typ"] <- "type"
# add more color schemes
new_row <- data.frame("more", NA, NA, NA, NA, NA, NA, NA, NA, NA, 1)
names(new_row) <- names(palettes)
palettes <- rbind(palettes, new_row)
rownames(palettes)[79] <- "tim.colors"
palettes <- rbind(palettes, new_row)
rownames(palettes)[80] <- "sunny"
palettes <- rbind(palettes, new_row)
rownames(palettes)[81] <- "cloud_mask1"
palettes <- rbind(palettes, new_row)
rownames(palettes)[82] <- "cloud_mask2"
palettes <- rbind(palettes, new_row)
rownames(palettes)[83] <- "larry"
palettes <- rbind(palettes, new_row)
rownames(palettes)[84] <- "albedo"
palettes <- rbind(palettes, new_row)
rownames(palettes)[85] <- "albedo2"
cloud_mask1 <- c("black", "transparent", "gray60", "white")
cloud_mask2 <- c("transparent", "transparent", "gray60", "white", "white")
### Read and format logo ###
if (logo) {
lf_black <- ifelse(logo == "color","CMSAF_NoName_Colour_crop.png","CMSAF_NoName_Black.png")
logo_cmsaf_path_black <- system.file(
"extdata",
lf_black,
package = "cmsafvis",
mustWork = TRUE
)
# Size and location of the logo
xwidth <- iwidth
logo.scale_black <- 0.3
logo.x <- 0
logo.y <- 0
logo_cmsaf_black <- png::readPNG(logo_cmsaf_path_black)
dims_black <- dim(logo_cmsaf_black)[1:2]
logo.height_black <- logo.scale_black * iwidth * dims_black[1] / dims_black[2]
if (logo.scale_black * iwidth * dims_black[1] / dims_black[2] < 45) {
logo.height_black <- 45
logo.scale_black <- logo.height_black / dims_black[1] * dims_black[2] / iwidth
}
# Prepare color logo
lf_color <- "CMSAF_NoName_Colour_crop.png"
logo_cmsaf_path_color <- system.file(
"extdata",
lf_color,
package = "cmsafvis",
mustWork = TRUE
)
# Size and location of the logo
logo.scale_color <- 0.3
logo.x <- 0
logo.y <- 0
logo_cmsaf_color <- png::readPNG(logo_cmsaf_path_color)
dims_color <- dim(logo_cmsaf_color)[1:2]
logo.height_color <- logo.scale_color * iwidth * dims_color[1] / dims_color[2]
if (logo.scale_color * iwidth * dims_color[1] / dims_color[2] < 45) {
logo.height_color <- 45
logo.scale_color <- logo.height_color / dims_color[1] * dims_color[2] / iwidth
}
text.x <- 0.99
text.y <- 0.01
lsb <- logo.scale_black
lsc <- logo.scale_color
}
ind360 <- FALSE # indicator for longitude 0 to 360
### Read config file ###
configParams <- yaml::read_yaml(config)
# loop over files in filelist
for (ifile in 1:length(filelist)) {
suppressWarnings(reset_par()) # just to be sure
invisible(grDevices::dev.off())
plotfile <- filelist[ifile]
ref_file <- plotfile[1]
file_info <- get_file_info(ref_file)
iwidth <- xwidth
# check config entry
if (sum(grepl(file_info$id, configParams)) == 1) {
if (verbose) {
cat("Config entry found for: ", basename(ref_file), sep = "")
cat ("\n")
}
} else {
if (verbose) {
cat("!!! Warning !!! Config entry missing for: ",
basename(ref_file)," ", file_info$id, sep = "")
cat ("\n")
}
next
}
varnames <- c()
units <- c()
bluemarbles <- c()
plot_lim <- c()
col_from_config <- c()
legends <- c()
logos <- c()
slots <- c()
invert <- c()
set_unit <- c()
set_vname <- c()
marble <- c()
sysd <- c()
auxf <- c()
mirror <- c()
namin <- c()
logmin <- c()
logsc <- c()
scalef <- c()
smoothf <- c()
tick_lab <- vector(mode = "list", length = 1)
remap_q <- FALSE
triup <- c()
tridown <- c()
# define plotting area in case of polar projection
area <- ""
if (grepl("North", file_info$area)) area <- "NP"
if (grepl("South", file_info$area)) area <- "SP"
if (grepl("Global", file_info$area)) area <- "GL"
vars <- names(configParams[[file_info$product_type]][[file_info$id]])
vars <- vars[!(vars %in% c("remap", "aux_file", "Dataset"))]
nvars <- length(vars)
# no plot variables found
assert_that(nvars > 0) # TODO Improve error message so that user knows how to fix the problem.
is_multiplot <- nvars > 1
dataset_name <- configParams[[file_info$product_type]][[file_info$id]]$Dataset
for (i in seq_along(vars)) {
limits <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$limits
plot_lim <- rbind(plot_lim, c(limits$min, limits$max))
legends <- c(legends, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$legend)
slots <- c(slots, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$slot)
marble <- c(marble, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$bluemarble)
isysd <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$sysdata
if (!is.null(isysd)) sysd <- isysd
imap <- configParams[[file_info$product_type]][[file_info$id]]$remap
if (!is.null(imap)) remap_q <- imap
iauxf <- configParams[[file_info$product_type]][[file_info$id]]$aux_file
if (!is.null(iauxf)) auxf <- iauxf
iinvert <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$invert_col
if (is.null(iinvert)) {
iinvert <- FALSE
}
invert <- append(invert, iinvert)
imirror <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$mirror_data
if (is.null(imirror)) {
imirror <- FALSE
}
mirror <- append(mirror, imirror)
scfa <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$scale_factor
if (is.null(scfa)) {
scfa <- 1.0
}
scalef <- append(scalef, scfa)
inamin <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$namin
if (is.null(inamin)) {
inamin <- NA
}
namin <- append(namin, inamin)
ilogmin <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$logmin
if (is.null(ilogmin)) {
ilogmin <- NA
}
logmin <- append(logmin, ilogmin)
tl <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$tick_lab
if (is.null(tl)) {
tl <- NA
}
tick_lab[[i]] <- tl
smfa <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$smooth_factor
if (is.null(smfa)) {
smfa <- NA
}
smoothf <- append(smoothf, smfa)
iunit <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$unit
if (is.null(iunit)) {
iunit <- NA
}
set_unit <- append(set_unit, iunit)
ivname <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$var_name
if (is.null(ivname)) {
ivname <- NA
}
set_vname <- append(set_vname, ivname)
ilogsc <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$log_scale
if (is.null(ilogsc)) {
ilogsc <- FALSE
}
logsc <- append(logsc, ilogsc)
itriup <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$tri_up
if (is.null(itriup)) {
itriup <- FALSE
}
triup <- append(triup, itriup)
itridown <- configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$tri_down
if (is.null(itridown)) {
itridown <- FALSE
}
tridown <- append(tridown, itridown)
col_from_config <- c(col_from_config, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$colorscale)
if (logo) logos <- c(logos, configParams[[file_info$product_type]][[file_info$id]][[vars[i]]]$logo)
}
mirror <- toupper(mirror)
### Read infiles ###
nc <- ncdf4::nc_open(ref_file)
vars2 <- names(nc$var)[toupper(names(nc$var)) %in% toupper(vars)]
vars <- vars2[order(match(toupper(vars2),toupper(vars)))]
nvars <- length(vars)
# no plot variables found
assert_that(nvars > 0) # TODO Improve error message so that user knows how to fix the problem.
for (k in seq_along(vars)) {
varnames <- c(varnames, ncdf4::ncatt_get(nc, vars[k], "long_name")$value)
units <- c(units, ncdf4::ncatt_get(nc, vars[k], "units")$value)
bluemarbles <- c(bluemarbles, bluemarble)
if (!is.null(set_unit)){
if (!is.na(set_unit[k])){
units[k] <- set_unit[k]
}
}
if (!is.na(set_vname[k])){
varnames[k] <- set_vname[k]
}
if (!is.null(marble)){
if (!is.na(marble[k])){
bluemarbles[k] <- marble[k]
}
}
# define some global variables, which are part of the bluemarble data
if (!is.null(sysd)) {
if (file.exists(sysd)) {
cat("Loading sysdata file...", "\n")
load(sysd)
} else {
cat("WARNING, sysdata file not found!", "\n")
}
}
}
# check lon lat names (not elegant, but should work for now)
lonvar <- "lon"
latvar <- "lat"
if ("lon" %in% names(nc$dim)) lonvar <- "lon"
if ("longitude" %in% names(nc$dim)) lonvar <- "longitude"
if ("Longitude" %in% names(nc$dim)) lonvar <- "Longitude"
if ("lat" %in% names(nc$dim)) latvar <- "lat"
if ("latitude" %in% names(nc$dim)) latvar <- "latitude"
if ("Latitude" %in% names(nc$dim)) latvar <- "Latitude"
if (lonvar %in% names(nc$dim)) {
lon_min <- min(ncdf4::ncvar_get(nc, lonvar), na.rm = TRUE)
lon_max <- max(ncdf4::ncvar_get(nc, lonvar), na.rm = TRUE)
lat_min <- min(ncdf4::ncvar_get(nc, latvar), na.rm = TRUE)
lat_max <- max(ncdf4::ncvar_get(nc, latvar), na.rm = TRUE)
dlon <- round(ncdf4::ncvar_get(nc, lonvar)[2] - ncdf4::ncvar_get(nc, lonvar)[1], digits = 2)
dlat <- round(ncdf4::ncvar_get(nc, latvar)[2] - ncdf4::ncvar_get(nc, latvar)[1], digits = 2)
lond <- ncdf4::ncvar_get(nc, lonvar)
latd <- ncdf4::ncvar_get(nc, latvar)
lonv <- as.vector(lond)
latv <- as.vector(latd)
lonv <- seq(min(lonv), max(lonv), length.out = length(lonv))
latv <- seq(min(latv), max(latv), length.out = length(latv))
} else {
if (is.null(auxf) & area != "NP" & area != "SP") {
stop("unable to get a lon / lat reference")
}
}
if (ncdf4::ncatt_get(nc, 0, "geospatial_lon_max")$hasatt) {
lon_min <- ncdf4::ncatt_get(nc, 0, "geospatial_lon_min")$value
lon_max <- ncdf4::ncatt_get(nc, 0, "geospatial_lon_max")$value
lat_min <- ncdf4::ncatt_get(nc, 0, "geospatial_lat_min")$value
lat_max <- ncdf4::ncatt_get(nc, 0, "geospatial_lat_max")$value
}
if (lon_max > 350) {
ind360 <- TRUE
lon_max_org <- lon_max
lon_min_org <- lon_min
lon_max <- 180 - lon_min_org
lon_min <- 180 - lon_max_org
}
if (area == "NP" | area == "SP") {
lond <- ncdf4::ncvar_get(nc, lonvar)
latd <- ncdf4::ncvar_get(nc, latvar)
}
# get time info for all slots
date.time <- ncdf4::ncvar_get(nc,"time")
t_unit <- ncdf4::ncatt_get(nc,"time","units")$value
date.time <- cmsafops::get_time(t_unit,date.time)
date.time <- date.time[slots]
ncdf4::nc_close(nc)
### Set aspect ###
lon_range <- lon_max - lon_min
lat_range <- lat_max - lat_min
aspect <- lon_range/lat_range
if (area == "NP" | area == "SP") {
iheight <- round(iwidth*0.94)
} else if (area == "GL") {
iheight <- round((iwidth/aspect)*1.04)
} else {
iheight <- round((iwidth/aspect)*0.95)
}
if (logo) {
if (area == "NP" | area == "SP") {
AR_color <- dims_color[1] / dims_color[2] * iwidth / iheight
AR_black <- dims_black[1] / dims_black[2] * iwidth / iheight
} else {
AR_color <- dims_color[1] / dims_color[2] * lon_range / lat_range
AR_black <- dims_black[1] / dims_black[2] * lon_range / lat_range
}
}
if (logo) {
if (area == "GL") {
logo.scale_black <- 0.18
logo.height_black <- logo.scale_black * iwidth * dims_black[1] / dims_black[2]
if (logo.scale_black * iwidth * dims_black[1] / dims_black[2] < 30) {
logo.height_black <- 30
logo.scale_black <- logo.height_black / dims_black[1] * dims_black[2] / iwidth
}
logo.scale_color <- 0.18
logo.height_color <- logo.scale_color * iwidth * dims_color[1] / dims_color[2]
if (logo.scale_color * iwidth * dims_color[1] / dims_color[2] < 30) {
logo.height_color <- 30
logo.scale_color <- logo.height_color / dims_color[1] * dims_color[2] / iwidth
}
} else {
logo.scale_black <- lsb
logo.scale_color <- lsc
}
}
if (exists("blue_marble")) {
nc_crs <- NULL
} else {
nc_crs <- blue_marble <- NULL
}
# factor for font size
hcor <- (iheight / 750) - 1
if (hcor < 0) {
hcor <- 0
}
fsf2 <- iwidth / 1021
fsf <- round((iwidth / 1021) + hcor, digits = 2)
# Prepare polar projection
ori <- c(0, 0, 0)
if (area == "NP" | area == "SP") {
if (area == "NP") {
ori <- c(89.9, 0, 0) # orientation North Pole
}
if (area == "SP") {
ori <- c(-89.9, 0, 0) # orientation South Pole
}
nx <- dim(lond)[1]
ny <- dim(lond)[2]
}
landcol <- "gray75" # "navajowhite3"
oceancol <- "gray85" # "cadetblue3"
outcol <- "gray20"
bordercol <- "gray20"
m <- maps::map("world", plot = FALSE)
### Plot ###
oldw <- getOption("warn")
options(warn = -1)
# read data
stacks <- c()
for (k in seq_along(vars)) {
stacks <- c(stacks, raster::stack(plotfile[1], quick = TRUE, varname = vars[k]))
}
if (!is.null(nc_crs)) {
for (l in seq_along(stacks)) {
raster::crs(stacks[[l]]) <- nc_crs
}
}
for (l in seq_along(stacks)) {
raster::extent(stacks[[l]]) <- c(lon_min, lon_max, lat_min, lat_max)
}
if (!is.null(auxf)) {
if (file.exists(auxf)) {
nc <- ncdf4::nc_open(auxf)
clon <- ncdf4::ncvar_get(nc, "lon")
clat <- ncdf4::ncvar_get(nc, "lat")
ncdf4::nc_close(nc)
gc()
carray <- array(0, dim = dim(clon))
carray <- carray[!is.na(clon)]
clat <- clat[!is.na(clon)]
clon <- clon[!is.na(clon)]
} else {
cat(paste("Couldn't find aux_file: ", auxf, sep=""), "\n")
}
}
options(warn = oldw)
# filename and timestamp for title
filename <- unlist(strsplit(basename(plotfile[1]), "\\."))
outfile <- file.path(outpath, paste0(filename[1], ".jpg"))
fi <- get_file_info(filename[1])
if (is.null(slots[1])) {
file_time <- fi$date_time
slot_i <- 1
} else {
file_time <- date.time[1]
slot_i <- slots[1]
}
if (file_info$time_interval == "instantaneous" | file_info$time_interval == "hourly")
file_time <- format(file_time, "%Y-%m-%d %R")
if (!is.null(file_info$statistics)){
if (file_info$statistics == "mean diurnal cycle")
file_time <- format(file_time, "%Y-%m %R")
}
if (!is.null(file_info$statistics)){
if (file_info$time_interval == "monthly" & file_info$statistics != "mean diurnal cycle")
file_time <- format(file_time, "%Y-%m")
} else {
if (file_info$time_interval == "monthly")
file_time <- format(file_time, "%Y-%m")
}
if (is_multiplot && (ceiling(nvars/ceiling(sqrt(nvars))) == 1)) {
grDevices::jpeg(outfile,
quality = jpeg_quality,
width = iwidth,
height = 2 * iheight,
res = dpi,
pointsize = round(12 * (1/(dpi/72)))
)
} else {
grDevices::jpeg(outfile,
quality = jpeg_quality,
width = iwidth,
height = iheight,
res = dpi,
pointsize = round(12 * (1/(dpi/72)))
)
}
# Parameters for multiple plots
if (is_multiplot) {
ncols <- ceiling(sqrt(nvars))
nrows <- ceiling(nvars/ncols)
if (nrows == 1) {
graphics::par(mfrow = c(ncols, nrows))
graphics::par(mar = c(2, 0, 4, 5) + 0.1)
graphics::par(oma = c(0, 0, 1, 1))
} else {
graphics::par(mfrow = c(nrows, ncols))
graphics::par(mar = c(2, 4, 4, 6) + 0.1)
graphics::par(oma = c(0, 0, 2, 5))
}
graphics::par(family = "Liberation Sans")
} else if (area == "GL") {
graphics::par(mar = c(2, 0, 4, 5) + 0.1)
graphics::par(oma = c(0, 0, 1, 1))
graphics::par(family = "Liberation Sans")
} else {
graphics::par(mar = c(2, 4, 4, 7) + 0.1)
graphics::par(oma = c(0, 0, 1, 2))
graphics::par(family = "Liberation Sans")
}
for (j in seq_along(vars)) {
# Check bluemarble
if (bluemarbles[j] && !file_info$grid == "Satellite projection MSG/Seviri") {
stop("Bluemarble plotting is only available for CLAAS data on MSG grid.")
}
# Get raster dimensions and set maxpixels
figdim <- dim(stacks[[j]])
maxp <- 100000
if (maxpixels) {
maxp <- figdim[1] * figdim[2]
} else {
maxp <- 500000
}
# Set color palette
if (col_from_config[[1]] == "clouds") {
stacks[[j]][[1]][is.na(stacks[[j]][[1]])] <- 0
if (raster::maxValue(stacks[[j]][[1]]) == 3) {
col <- cloud_mask1
} else {
col <- cloud_mask2
}
plot_lim[j,] <- range(raster::values(stacks[[j]][[1]]),na.rm = TRUE)
} else {
if (logsc[j]) {
get_breaks <- function(x) {
lo <- floor(log10(min(x, na.rm = TRUE)))
hi <- ceiling(log10(max(x, na.rm = TRUE)))
as.vector(10 ^ (lo:hi) %o% 1:9)
}
logzero <- FALSE
tick_lim <- plot_lim[j,]
if (plot_lim[j,1] == 0) {
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
if (all(is.na(datav))) {
if (!is.na(namin[j])){
minval <- as.numeric(namin[j])
} else {
minval <- 0.001
}
} else {
if (!is.na(logmin[j])){
minval <- logmin[j]
} else {
minval <- min(datav[datav > 0], na.rm = TRUE)
}
}
tick_lim[1] <- minval
logzero <- TRUE
ticks <- get_breaks(tick_lim)
ticks_labs <- ticks
zeroval <- (0 + minval) / 2
if (ticks[1] < minval) {
zeroval <- ticks[1]
ticks_labs[1] <- "0"
} else if (!is.na(logmin[j])) {
ticks <- append(zeroval, ticks)
ticks_labs <- append("0", ticks_labs)
} else {
zeroval <- ticks[1] - (0.9 * ticks[1])
ticks <- append(zeroval, ticks)
ticks_labs <- append("0", ticks_labs)
}
# adjust plot_lim
plot_lim[j,1] <- zeroval
} else {
ticks <- get_breaks(plot_lim[j,])
ticks_labs <- ticks
}
col = getColors(col_from_config[[j]], palettes, length(ticks) - 1L, FALSE)
} else {
if (!is.na(tick_lab[[j]][1])) {
col = getColors(col_from_config[[j]], palettes, length(tick_lab[[j]]), FALSE)
} else {
col <- getColors(col_from_config[[j]], palettes, 32, FALSE)
if (col_from_config[[j]] == "terrain.colors" && remap_q) {
col <- col[1:30]
}
}
}
}
# invert colors if invert_col is TRUE
if (!is.null(invert)) {
if (invert[j]) {
col <- rev(col)
}
}
# remap data if remap_q = TRUE
if (remap_q) {
if (!is.null(auxf)) {
if (file.exists(auxf)) {
rdata <- c()
if (verbose) {
cat("Remapping...", "\n")
}
rdata <- remap4quicklook(var = vars[j], infile = plotfile, auxfile = auxf)
rdata$data <- rdata$data * scalef[j]
if (file_info$grid == "Satellite projection MSG/Seviri" || file_info$grid == "Remapped") {
file_info$grid <- "Remapped"
rep.row <- function(x, n) {
matrix(rep(x, each = n), nrow = n)
}
lon_l2 <-
replicate(length(rdata$lat), rdata$lon)
lat_l2 <-
rep.row(rdata$lat, length(rdata$lon))
datav <- as.vector(rdata$data)
a <- mapproj::mapproject(
x = lon_l2,
y = lat_l2,
projection = "orthographic",
orientation = ori
)
nx <- figdim[1]
ny <- figdim[2]
if (sum(is.na(a$x)) > 0 | sum(is.na(a$y)) > 0) {
dummy <- NULL
dummy <- !is.na(a$x)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
dummy <- NULL
dummy <- !is.na(a$y)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
}
# define grid factors
xr <-
abs(range(lon_l2, na.rm = TRUE)[1]) + abs(range(lon_l2, na.rm = TRUE)[2])
yr <-
abs(range(lat_l2, na.rm = TRUE)[1]) + abs(range(lat_l2, na.rm = TRUE)[2])
l1 <- 3.1 # max value for nx/xf
l2 <- 2.0 # max value for ny/yf
x1 <- c(40, 360)
y1 <- c(1, l1)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (xr > 40 & xr <= 360) {
xf <- c2 * xr + c1
xf <- round(xf, digits = 1)
} else {
xf <- 1
}
x1 <- c(40, 180)
y1 <- c(1, l2)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (yr > 40 & yr <= 180) {
yf <- c2 * yr + c1
yf <- round(yf, digits = 1)
} else {
yf <- 1
}
}
} else {
cat("No aux-file found! This file is a requirement for remapping.", "\n")
}
}
}
# Polar Projection Plot
if (area == "NP" || area == "SP") {
nc <- ncdf4::nc_open(plotfile)
datav <- ncdf4::ncvar_get(nc, vars[j])
ncdf4::nc_close(nc)
# Apply scale factor
datav <- datav * scalef[j]
if (!is.null(mirror)) {
if (mirror[j] == "NP" | mirror[j] == "SP" | mirror[j] == "TRUE") {
datav <- datav[dim(datav)[1]:1,]
}
}
datav <- as.vector(datav)
lonv <- as.vector(lond)
latv <- as.vector(latd)
a <-
mapproj::mapproject(
x = lonv,
y = latv,
projection = "orthographic",
orientation = ori
)
# filter Nas
if (sum(is.na(a$x)) > 0 | sum(is.na(a$y)) > 0) {
dummy <- NULL
dummy <- !is.na(a$x)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
dummy <- NULL
dummy <- !is.na(a$y)
a$x <- a$x[dummy]
a$y <- a$y[dummy]
datav <- datav[dummy]
}
# define grid factors
xr <-
abs(range(lonv, na.rm = TRUE)[1]) + abs(range(lonv, na.rm = TRUE)[2])
yr <-
abs(range(latv, na.rm = TRUE)[1]) + abs(range(latv, na.rm = TRUE)[2])
l1 <- 3.1 # max value for nx/xf
l2 <- 2.0 # max value for ny/yf
x1 <- c(40, 360)
y1 <- c(1, l1)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (xr > 40 & xr <= 360) {
xf <- c2 * xr + c1
xf <- round(xf, digits = 1)
} else {
xf <- 1
}
x1 <- c(40, 180)
y1 <- c(1, l2)
c1 <- stats::lm(y1 ~ x1)$coeff[[1]]
c2 <- stats::lm(y1 ~ x1)$coeff[[2]]
if (yr > 40 & yr <= 180) {
yf <- c2 * yr + c1
yf <- round(yf, digits = 1)
} else {
yf <- 1
}
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-0.7, 0.7),
ylim = c(-0.7, 0.7),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = " ",
col = col,
add.legend = FALSE,
axes = FALSE,
asp = 1
)
graphics::polygon(
sin(seq(0, 2 * pi, length.out = 100)),
cos(seq(0, 2 * pi, length.out = 100)),
col = oceancol,
border = grDevices::rgb(1, 1, 1, 0.5),
lwd = 1
)
suppressWarnings(
maps::map(
"world",
projection = "orthographic",
orientation = ori,
add = TRUE,
interior = FALSE,
fill = TRUE,
col = landcol,
lwd = 0.5,
resolution = 0,
border = NA
)
)
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-0.7, 0.7),
ylim = c(-0.7, 0.7),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = "text1",
col = col,
add.legend = FALSE,
axes = FALSE,
add = TRUE,
asp = 1
)
# Plot borders
suppressWarnings(
maps::map(
"world",
projection = "orthographic",
orientation = ori,
add = TRUE,
interior = FALSE,
col = outcol,
lwd = 0.5,
resolution = 0
)
)
mapproj::map.grid(
m,
nx = 18,
ny = 9,
lty = 3,
col = "gray",
cex = 0.55*fsf
)
} else {
# bluemarble plot
if (bluemarbles[j]) {
if (!is.null(sysd)) {
if (!file.exists(sysd)) {
cat("No valid bluemarble data found!", "\n")
}
}
if (!is.null(blue_marble)) {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
fields::quilt.plot(
# This is generated in data-raw/generate_internal_data.R
blue_marble$projection$x,
blue_marble$projection$y,
blue_marble$data_values,
xlim = c(-1, 1),
ylim = c(-1, 1),
nx = blue_marble$n_lon_unique / blue_marble$xf,
ny = blue_marble$n_lat_unique / blue_marble$yf,
xlab = " ",
ylab = " ",
main = "",
col = blue_marble$colors,
add.legend = FALSE,
axes = FALSE
)
raster::image(stacks[[j]] * scalef[j], y = slot_i,
main = "",
axes = FALSE,
xlab = "",
ylab = "",
col = col,
maxpixels = maxp,
add = TRUE)
} else {
stop("Bluemarble plotting is not available. See https://www.cmsaf.eu/R_toolbox")
}
} else {
# borderline plots for scale
if (file_info$grid == "Satellite projection MSG/Seviri") {
if (!is.null(blue_marble)) {
graphics::par(pty = "s")
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
fields::quilt.plot(
# This is generated in data-raw/generate_internal_data.R
blue_marble$projection$x,
blue_marble$projection$y,
blue_marble$data_values,
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = plot_lim[j,],
nx = blue_marble$n_lon_unique / blue_marble$xf,
ny = blue_marble$n_lat_unique / blue_marble$yf,
xlab = " ",
ylab = " ",
col = "gray",
add.legend = FALSE,
axes = FALSE
)
} else {
if (!is.null(auxf)) {
if (file.exists(auxf)) {
graphics::par(pty = "s")
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
fields::quilt.plot(
clon,
clat,
carray,
xlim = c(-1, 1),
ylim = c(-1, 1),
xlab = " ",
ylab = " ",
col = "gray85",
add.legend = FALSE,
axes = FALSE
)
}
} else {
stop("Bluemarble plotting is not available. No valid bluemarble data found! See https://www.cmsaf.eu/R_toolbox")
}
}
} else {
if (file_info$grid == "Remapped") {
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = " ",
col = col,
add.legend = FALSE,
axes = FALSE,
useRaster = TRUE,
asp = 1
)
graphics::polygon(
sin(seq(0, 2 * pi, length.out = 100)),
cos(seq(0, 2 * pi, length.out = 100)),
col = oceancol,
border = grDevices::rgb(1, 1, 1, 0.5),
lwd = 1
)
} else {
graphics::image(lonv, latv,
outer(lonv, latv, "+"),
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
xlab = " ",
ylab = " ",
col = "gray85",
axes = FALSE,
useRaster = TRUE,
asp = 1
)
}
}
# land plot
if (file_info$grid == "Satellite projection MSG/Seviri" || file_info$grid == "Remapped") {
if (!is.null(auxf)) {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", fill = TRUE, border = NA,
col = "gray75", orientation = ori, boundary = FALSE,
xlim = c(min(clon), max(clon)),
ylim = c(min(clat), max(clat)),
lforce = "e",
add = TRUE)
)
} else {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", fill = TRUE, border = NA,
col = "gray75", orientation = c(0,0,0), add = TRUE)
)
}
} else if (area == "GL") {
if (lon_max >= 359) {
maps::map("world2", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), wrap = c(-180, 180), add = TRUE)
} else {
maps::map("world", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), wrap = c(-180, 180), add = TRUE)
}
} else {
if (lon_max >= 359) {
maps::map("world2", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
} else {
maps::map("world", fill = TRUE, border = NA, xlim = c(lon_min, lon_max),
col = "gray75", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
}
}
# plot image
# In case of values outside plot_lim, marked by a triangle, set min and max
if (triup[j]){
raster::values(stacks[[j]])[raster::values(stacks[[j]]) > plot_lim[j,2]] <- plot_lim[j,2]
if (!exists("datav")){
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
}
datav[datav > plot_lim[j,2]] <- plot_lim[j,2]
}
if (tridown[j]){
raster::values(stacks[[j]])[raster::values(stacks[[j]]) < plot_lim[j,1]] <- plot_lim[j,1]
if (!exists("datav")){
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
}
datav[datav < plot_lim[j,1]] <- plot_lim[j,1]
}
# Get subset of raster stack, which contains data to plot
plotdata <- raster::subset(stacks[[j]], slot_i)
# UTH data with 0 to 360 grid were plotted wrong,
# but the solution on Windows did not work on Linux
if (ind360) {
# raster::image(raster::rotate(stacks[[j]]),
raster::image(plotdata * scalef[j],
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
col = col,
colNA = "gray85",
asp = 1,
maxpixels = maxp,
add = TRUE
)
} else {
if (logsc[j] && !remap_q) {
rotate <- function(x) t(apply(x, 2, rev))
if (!exists("datav")){
datav <- raster::as.matrix(stacks[[j]][[slot_i]])
}
# For log-scale values below or equal 0 are not allowed
if (logzero) {
if (!is.na(logmin[j])) {
datav[datav >= 0 & datav < logmin[j]] <- zeroval
} else {
datav[datav <= 0] <- zeroval
}
}
graphics::image(lonv, latv, log(rotate(datav)),
axis.args=list( at=log(ticks), labels=ticks),
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
zlim = log(plot_lim[j,]),
axes = FALSE,
xlab = "",
ylab = "",
col = col,
colNA = "gray85",
asp = 1,
useRaster = TRUE,
add = TRUE
)
} else {
if (!is.na(smoothf[j])) {
smp <- raster::disaggregate(stacks[[j]], fact = smoothf[j], method='bilinear')
raster::image(smp,
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
col = col,
colNA = "gray85",
asp = 1,
add = TRUE
)
} else {
if (remap_q && !is.null(auxf)) {
if (logsc[j]) {
# For log-scale values below or equal 0 are not allowed
if (logzero) {
datav[datav <= 0] <- zeroval
}
fields::quilt.plot(
a$x,
a$y,
log(datav),
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = log(plot_lim[j,]),
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = "text1",
col = col,
add.legend = FALSE,
axes = FALSE,
add = TRUE,
useRaster = TRUE,
asp = 1
)
} else {
fields::quilt.plot(
a$x,
a$y,
datav,
xlim = c(-1, 1),
ylim = c(-1, 1),
zlim = plot_lim[j,],
nx = nx / xf,
ny = ny / yf,
xlab = " ",
ylab = " ",
main = "text1",
col = col,
add.legend = FALSE,
axes = FALSE,
add = TRUE,
useRaster = TRUE,
asp = 1
)
}
} else {
raster::image(plotdata * scalef[j],
main = "",
xlim = c(lon_min, lon_max),
ylim = c(lat_min, lat_max),
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
col = col,
colNA = "gray85",
asp = 1,
maxpixels = maxp,
add = TRUE
)
}
}
}
}
# borderline plot
if (file_info$grid == "Satellite projection MSG/Seviri" || file_info$grid == "Remapped") {
if (!is.null(auxf)) {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", interior = FALSE,
col = "gray10", orientation = ori, lwd = 1.5,
xlim = c(min(clon), max(clon)),
ylim = c(min(clat), max(clat)),
lforce = "e",
add = TRUE)
)
draw.circle(0,0,0.992, border = "gray85", lwd = 5)
draw.circle(0,0,1, border = "gray35", lwd = 1)
} else {
raster::extent(stacks[[j]]) <- c(-1, 1, -1, 1)
suppressWarnings(
maps::map("world", projection = "orthographic", interior = FALSE,
col = "gray20", orientation = c(0,0,0), add = TRUE)
)
}
} else if (area == "GL") {
if (lon_max >= 359) {
maps::map("world2", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), wrap = c(-180, 180), add = TRUE)
} else {
maps::map("world", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), wrap = c(-180, 180),
lforce = "e", add = TRUE)
}
} else {
if (lon_max >= 359) {
maps::map("world2", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
} else {
maps::map("world", interior = FALSE, xlim = c(lon_min, lon_max),
col = "gray20", ylim = c(lat_min, lat_max), lforce = "e", add = TRUE)
}
}
}
} # end if polar projection
# plot logo and copyright text
if (logo || copyright) {
# check figure min and max and calculate a correction
xmin <- graphics::par("usr")[1]
xmax <- graphics::par("usr")[2]
ymin <- graphics::par("usr")[3]
ymax <- graphics::par("usr")[4]
xoff <- (1 / (abs(xmin) + abs(xmax))) * (abs(xmin - lon_min) + 1)
yoff <- (1 / (abs(ymin) + abs(ymax))) * (abs(ymin - lat_min) + 1)
if (xoff <= 0 || xoff >= 0.5) xoff <- 0
if (yoff <= 0 || yoff >= 0.5) yoff <- 0
graphics::par(usr = c(0, 1, 0, 1))
if (logos[j] == "color") {
logo_cmsaf <- logo_cmsaf_color
AR <- AR_color
logo.scale <- logo.scale_color
logo.height <-
(dims_color[1]/dims_color[2] *((abs(xmin) + abs(xmax)) * logo.scale)) / (abs(ymin) + abs(ymax))
} else {
logo_cmsaf <- logo_cmsaf_black
AR <- AR_black
logo.scale <- logo.scale_black
logo.height <-
(dims_black[1]/dims_black[2] *((abs(xmin) + abs(xmax)) * logo.scale)) / (abs(ymin) + abs(ymax))
}
}
if (logo) {
graphics::rasterImage(array(0.75, dim = dim(logo_cmsaf)),
logo.x + 0.01 + xoff,
logo.y + 0.01 + yoff,
logo.x + logo.scale + 0.01 + xoff,
logo.y + logo.height + 0.01 + yoff,
interpolate = TRUE,
bg = "white")
graphics::rasterImage(logo_cmsaf,
logo.x + 0.01 + xoff,
logo.y + 0.01 + yoff,
logo.x + logo.scale + 0.01 + xoff,
logo.y + logo.height + 0.01 + yoff,
interpolate = TRUE
)
}
if (copyright) {
txt <- paste0("\u00a9 EUMETSAT, ", format.Date(Sys.Date(), "%Y"))
cr.scale <- (logo.scale - 0.02)/graphics::strwidth(txt)
dims_text <- c(round(dim(logo_cmsaf)[1]/2), dim(logo_cmsaf)[2], dim(logo_cmsaf)[3])
graphics::rasterImage(array(0.75, dim = dim(logo_cmsaf)),
text.x - logo.scale - xoff,
text.y + yoff,
text.x - xoff,
text.y + ((AR * logo.scale)/2) + yoff,
interpolate = TRUE)
graphics::text(text.x - xoff, text.y + 0.01 + yoff, txt,
cex = cr.scale,
adj = c(1,0))
}
# plot legend
# Get subset of raster stack, which contains data to plot
if (area == "NP" | area == "SP") {
plotdata <- raster::subset(stacks[[j]], slot_i)
}
if (legends[j]) {
if (logsc[j]) {
if (logzero) {
raster::plot(raster::calc(plotdata, fun=log) * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = log(plot_lim[j,]),
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf,
at=log(ticks), labels=ticks_labs),
col = col,
add = TRUE)
if (triup[j] || tridown[j]) {
fields::imagePlot(datav,
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
axis.args=list(labels = FALSE,
tick = FALSE),
col = col,
upperTriangle = triup[j],
lowerTriangle = tridown[j],
add = TRUE)
}
} else {
if (triup[j] || tridown[j]) {
fields::imagePlot(datav,
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
axis.args=list(labels = FALSE,
tick = FALSE),
col = col,
upperTriangle = triup[j],
lowerTriangle = tridown[j],
add = TRUE)
}
fields::image.plot(log(datav),
zlim = log(plot_lim[j,]),
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf,
at=log(ticks), labels=ticks_labs),
col = col,
add = TRUE)
}
} else {
if (!is.na(tick_lab[[j]][1])) {
breaks <- seq(plot_lim[j,1], plot_lim[j,2], length.out=(length(col) + 1))
labstep <- (breaks[2] - breaks[1]) / 2
labat <- seq(breaks[1]+labstep, breaks[length(breaks)]-labstep, length.out = length(tick_lab[[j]]))
graphics::par(cex=1.0)
raster::plot(plotdata * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
breaks = breaks,
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf,
at=labat,
labels=tick_lab[[j]],
las = 3),
col = col,
add = TRUE)
} else {
if (triup[j] || tridown[j]) {
fields::imagePlot(datav,
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.899,
legend.width = 1.5,
legend.mar = 5.1,
axis.args=list(labels = FALSE,
tick = FALSE),
col = col,
upperTriangle = triup[j],
lowerTriangle = tridown[j],
add = TRUE)
raster::plot(plotdata * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf),
col = col,
add = TRUE)
} else {
raster::plot(plotdata * scalef[j],
main = "",
axes = FALSE,
xlab = "",
ylab = "",
zlim = plot_lim[j,],
legend.only = TRUE,
legend.shrink = 0.9,
legend.width = 1.5,
legend.mar = 5.1,
legend.args=list(text = units[j],
side = 2,
font = 2,
line = 0.2,
cex = 1.25*fsf),
axis.args=list(cex.axis = 1*fsf),
col = col,
add = TRUE)
}
}
}
}
# figure title
if (is_multiplot) {
graphics::mtext(CapWords(varnames[j]), line = 0.4, cex = 1.25*fsf2)
}
}
# main title
if (is_multiplot) {
graphics::mtext(paste(dataset_name, file_time, sep = ", "),
side = 3,
line = -2,
outer = TRUE,
cex = 1.45*fsf2,
font = 2
)
} else {
if (nchar(paste(CapWords(varnames[1]), dataset_name, file_time, sep = ", ")) > 70){
fsf <- (fsf + fsf2) / 2
}
graphics::mtext(paste(CapWords(varnames[1]), dataset_name, file_time, sep = ", "),
side = 3,
line = -3,
outer = TRUE,
cex = 1.45*fsf,
font = 2
)
}
grDevices::dev.off()
if (exists("stacks")) rm(stacks)
if (exists("plotfile")) rm(plotfile)
if (exists("datav")) rm(datav)
gc()
}
# Clean up
if (file.exists("Rplots.pdf")) {
file.remove("Rplots.pdf")
}
gc()
}
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