From 32f9c30b515dc1c0ff5f2adb5e5a76ecf0f5f6d5 Mon Sep 17 00:00:00 2001 From: Manu Chevalier Date: Thu, 7 Dec 2023 14:09:02 +0100 Subject: [PATCH] Major updates of many plots. The program deals with relative spaces and distances way better. --- R/plot.climateSpace.R | 149 +++++++++++++------ R/plot.combinedPDFS.R | 1 - R/plot.diagram.R | 2 +- R/plot.loo.R | 2 +- R/plot.speciesCharacteristics.R | 255 ++++++++++++++++++++------------ R/plot.utils.R | 50 ++++--- R/sysdata.rda | Bin 18204 -> 18200 bytes data/M1.rda | Bin 1589342 -> 1589357 bytes data/reconstr.rda | Bin 288269 -> 288544 bytes man/plot_climateSpace.Rd | 4 +- man/plot_diagram.Rd | 2 +- man/plot_loo.Rd | 2 +- man/plot_taxaCharacteristics.Rd | 6 +- 13 files changed, 303 insertions(+), 170 deletions(-) diff --git a/R/plot.climateSpace.R b/R/plot.climateSpace.R index decea66..d946a00 100644 --- a/R/plot.climateSpace.R +++ b/R/plot.climateSpace.R @@ -17,7 +17,7 @@ terra::crs#' Plot the studied climate space. #' @param width The width of the output file in inches (default 7.48in ~ 19cm). #' @param height The height of the output file in inches (default 3in ~ 7.6cm #' per variables). -#' @param y0 The space to allocate to each title (default 0.3in ~ 0.76 cm. +#' @param y0 The space to allocate to each title (default 0.4in ~ 1 cm. #' @param resol For advanced users only: if higher resolution data are used to #' estimate the \code{pdfs}, use this parameter to define the resolution #' of the maps maps on the figures. (default is 0.25 degrees to match @@ -46,7 +46,7 @@ plot_climateSpace <- function( x, save = FALSE, filename = 'Climate_space.pdf', as.png = FALSE, png.res=300, width= 7.48, - height = min(9, 3.5*length(climate)), y0 = 0.5, + height = min(9, 3.5*length(climate)), y0 = 0.4, add_modern = FALSE, resol = 0.25 ) { @@ -103,7 +103,7 @@ plot_climateSpace <- function( x, y1 <- (height - length(climate)*y0) / length(climate) x1 <- min(c(width/3, xy_ratio * y1 )) - y1 <- x1 / xy_ratio + #y1 <- x1 / xy_ratio x2 <- width - 2*x1 if(save) { @@ -150,9 +150,8 @@ plot_climateSpace <- function( x, m1 <- m3 + max(m3) m2 <- max(m1) + 1:(4*length(climate)) - y3 <- y1*0.05 - y3 <- min(y0/2, y3) - y3 <- max(y3, y0/3) + y3=0.15 + y1 <- (height - length(climate)*y0) / length(climate) graphics::layout(cbind(m1, m2, m3 ), width = c(x1, x2, x1), @@ -181,7 +180,7 @@ plot_climateSpace <- function( x, graphics::par(mar = c(0, 0, 0, 0), ps=8*3/2) plot_map_eqearth(veg_space, ext, zlim = zlab, brks.pos=log10(clab), brks.lab=clab, - col=viridis::plasma(20), title='Number of unique species occurences', + col=viridis::plasma(20), title='Number of species occurences', site_xy = site_xy, dim=c(x1*width / sum(c(x1,x2,x1)), height / length(climate))) @@ -216,27 +215,38 @@ plot_climateSpace <- function( x, miny <- miny - 0.03*dY maxy <- maxy + 0.03*dY - xlim <- c(minx, maxx) + c(-0.005, 0.15)*dX + dim=c(x1*width / sum(c(x1,x2,x1)), height / length(climate)) + inches2plot_units <- (maxx-minx) / (dim[1] - 1.2*graphics::strwidth('1234567', cex=6/8, units='inches')) + + xlim <- c(minx, maxx) + c(-graphics::strwidth(' ', cex=6/8, units='inches'), graphics::strwidth('123456', cex=6/8, units='inches'))*inches2plot_units ylim <- c(miny, maxy) + c(-0.1, 0.05**2)*dY graphics::par(mar=c(0,0,0,0), ps=8*3/2) - plot(NA, NA, type='n', xlab='', ylab='', main='', axes=FALSE, frame=FALSE, xlim=xlim, ylim=c(0,1), xaxs='i', yaxs='i') - graphics::text(mean(c(minx, maxx)),0.25, paste(climate[clim], '(x-axis) vs.', climate[clim+1], '(y-axis)'), adj=c(0.5,0), cex=1, font=1) + plot(NA, NA, type='n', xlab='', ylab='', main='', axes=FALSE, frame=FALSE, xlim=xlim, ylim=c(0,0.8), xaxs='i', yaxs='i') + graphics::text(mean(c(minx, maxx)),0.15, paste(climate[clim], '(x-axis) vs.', climate[clim+1], '(y-axis)'), adj=c(0.5,0), cex=1, font=1) graphics::par(mar=c(0,0.2,0,0.2)) plot(NA, NA, type='n', xaxs='i', yaxs='i', axes=FALSE, frame=FALSE, xlim=xlim, ylim=ylim) ; { for(yval in graphics::axTicks(4)){ - if (yval >= miny & yval <= maxy) { + if (yval-graphics::strheight(yval, cex=6/8)/2 >= miny & yval+graphics::strheight(yval, cex=6/8)/2 <= maxy) { graphics::segments(maxx, yval, minx, yval, col='grey90', lwd=0.5) + } + } + for(xval in graphics::axTicks(1)){ + if(xval >= minx & xval <= maxx) { + graphics::segments(xval, miny, xval, maxy, col='grey90', lwd=0.5) + } + } + for(yval in graphics::axTicks(4)){ + if (yval-graphics::strheight(yval, cex=6/8)/2 >= miny & yval+graphics::strheight(yval, cex=6/8)/2 <= maxy) { graphics::segments(maxx, yval, maxx-diff(xlim)*0.012, yval, lwd=0.5) graphics::text(maxx+diff(xlim)*0.015, yval, yval, cex=6/8, adj=c(0,0.4)) } } for(xval in graphics::axTicks(1)){ if(xval >= minx & xval <= maxx) { - graphics::segments(xval, miny, xval, maxy, col='grey90', lwd=0.5) graphics::segments(xval, miny, xval, miny+diff(ylim)*0.012, lwd=0.5) graphics::text(xval, miny-diff(ylim)*0.015, xval, cex=6/8, adj=c(0.5,1)) } @@ -264,9 +274,10 @@ plot_climateSpace <- function( x, crs = terra::crs("+proj=longlat +datum=WGS84 +no_defs")) graphics::par(mar = c(0, 0, 0, 0), ps=8*3/2) plot_map_eqearth(R1, ext, zlim=range(brks), col=viridis::viridis(length(brks)-1), - brks.pos = brks, brks.lab = brks, - title=accClimateVariables(clim)[3], site_xy = site_xy, - dim=c(x1*width / sum(c(x1,x2,x1)), height / length(climate))) + brks.pos = brks, brks.lab = brks, + title=accClimateVariables(clim)[3], site_xy = site_xy, + dim=c(x1*width / sum(c(x1,x2,x1)), height / length(climate)) + ) } for( clim in climate) { @@ -279,13 +290,16 @@ plot_climateSpace <- function( x, xval <- range(h1$breaks) - ext_factor_x <- max(graphics::strwidth(paste0(' ', c(h1$counts, h2$counts)) , cex=6/8, units='inches')) + graphics::strheight('Number of occurrences', cex=6/8, units='inches') - w <- x2 - 2*ext_factor_x # space allocated to the central part of the plot - ratio <- diff(xval) / w # units per inch - xval <- xval + c(-1, 1)*(ext_factor_x*ratio) + dim=c(x2*width / sum(c(x1,x2,x1)), height / length(climate)) + length_ylabels <- 1.5*max(graphics::strwidth(paste0('', c(h1$counts, h2$counts)) , cex=6/8, units='inches')) + length_ytitle <- 1.5*graphics::strheight('\nNumber of occurrences', cex=6/8, units='inches') + inches2plot_units <- diff(xval) / (dim[1] - length_ylabels - length_ytitle) + + w <- x2 - 2*(length_ylabels + length_ytitle) # space allocated to the central part of the plot + xval <- xval + c(-1, 1)*((length_ylabels + length_ytitle)*inches2plot_units) graphics::par(mar=c(0,0,0,0), ps=8*3/2) - plot(NA, NA, type='n', xlab='', ylab='', main='', axes=FALSE, frame=FALSE, xlim=c(0,1), ylim=c(0,1), xaxs='i', yaxs='i') ; { + plot(NA, NA, type='n', xlab='', ylab='', main='', axes=FALSE, frame=FALSE, xlim=c(0,1), ylim=c(0,0.8), xaxs='i', yaxs='i') ; { s1 <- graphics::strwidth('Observed', cex=1, font=2) s2 <- graphics::strwidth(' vs. ', cex=1, font=1) s3 <- graphics::strwidth('Sampled', cex=1, font=2) @@ -293,22 +307,43 @@ plot_climateSpace <- function( x, graphics::text(0.5-(s1+s2+s3)/2, 0.5, 'Observed', cex=1, font=2, col='grey70', adj=c(0,0)) graphics::text(0.5-(s1+s2+s3)/2+s1, 0.5, ' vs. ', cex=1, font=1, col='black', adj=c(0,0)) graphics::text(0.5-(s1+s2+s3)/2+s1+s2, 0.5, ' Sampled', cex=1, font=2, col='black', adj=c(0,0)) - graphics::text(0.5, 0.3, paste(accClimateVariables(clim)[3],' [',clim,']',sep=''), cex=1, font=1, col='black', adj=c(0.5,1)) + graphics::text(0.5, 0.4, paste(accClimateVariables(clim)[3],' [',clim,']',sep=''), cex=1, font=1, col='black', adj=c(0.5,1)) } graphics::par(mar=c(0,0,0.1,0)) opar <- graphics::par(lwd=0.5) - plot(NA, NA, type='n', xlim=xval, ylim=c(0, max(h1$counts)), axes=FALSE, main='', xaxs='i', yaxs='i') ; { - for(yval in graphics::axTicks(2)){ - if(yval+graphics::strheight(yval, cex=6/8)/2 < max(h1$counts)) { - graphics::text(h1$breaks[1]-diff(xval)*0.015, yval, yval, cex=6/8, adj=c(1,ifelse(yval==0, 0, 0.4))) + plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1.02*max(h1$counts)), axes=FALSE, main='', xaxs='i', yaxs='i') ; { + yvals <- graphics::axTicks(2) + yvals <- yvals[yvals <= 1.02*max(h1$counts)] + bool=TRUE + last_plot <- 1 + for(yval in 1:length(yvals)){ + if(yvals[yval]+graphics::strheight(yvals[yval], cex=6/8)/2 < max(h1$counts)) { + if(yval > 1) { + if(yvals[yval]-1.5*graphics::strheight(yvals[yval], cex=6/8) < yvals[last_plot]) { + bool <- FALSE + } else { + bool <- TRUE + } + } + if(bool) { + graphics::text(h1$breaks[1]-diff(xval)*0.015, yvals[yval], yvals[yval], cex=6/8, adj=c(1,0.4)) + last_plot <- yval + } } - graphics::segments(h1$breaks[1], yval, max(h1$breaks), yval, col=ifelse(yval==0, 'black', 'grey90')) - graphics::segments(h1$breaks[1], yval, h1$breaks[1]+diff(xval)*0.012, yval) + graphics::segments(h1$breaks[1], yvals[yval], max(h1$breaks), yvals[yval], col=ifelse(yvals[yval]==0, 'black', 'grey90')) + graphics::segments(h1$breaks[1], yvals[yval], h1$breaks[1]+diff(xval)*0.012, yvals[yval]) } graphics::segments(h1$breaks[1],0,h1$breaks[1], max(h1$counts)) plot(h1, add=TRUE, col='grey70') - graphics::text(xval[1], max(h1$counts)/2, 'Number of occurrences', cex=6/8, adj=c(0.5, 1), srt=90) + + bool <- TRUE + for(labs in c('Number of occurrences', 'Nb of occurrences', 'Number of occ.', 'Nb of occ.', '# occ.')) { + if( graphics::strwidth(labs, units='inches', cex=6/8) < (y1-y3)/2 & bool) { + graphics::text(xval[1], max(h1$counts)/2, paste0('\n',labs), cex=6/8, adj=c(0.5, 1), srt=90) + bool <- FALSE + } + } } graphics::par(opar) @@ -317,40 +352,68 @@ plot_climateSpace <- function( x, plot(NA, NA, type='n', xlab='', ylab='', main='', axes=FALSE, frame=FALSE, xlim=xval, ylim=c(0,1), xaxs='i', yaxs='i') ; { d1 <- -9999999 if(add_modern) { - #graphics::points(x$misc$site_info$climate[, clim], 0.5, pch=23, col='white', bg='red', cex=1.5, lwd=1.5) if (is.numeric(x$misc$site_info$climate[, clim]) ) { - graphics::points(x$misc$site_info$climate[, clim], 0.83, pch=24, col=NA, bg='red', cex=0.9, lwd=1.5) - graphics::points(x$misc$site_info$climate[, clim], 0.17, pch=25, col=NA, bg='red', cex=0.9, lwd=1.5) + graphics::points(x$misc$site_info$climate[, clim], 0.83, pch=24, col=NA, bg='red', cex=0.75, lwd=1.5) + graphics::points(x$misc$site_info$climate[, clim], 0.17, pch=25, col=NA, bg='red', cex=0.75, lwd=1.5) } } for(i in 1:length(h1$breaks)) { - d2 <- h1$breaks[i] - graphics::strwidth(paste0(' ', h1$breaks[i], ' '), cex=6/8, units='user')/2 + d2 <- h1$breaks[i] - graphics::strwidth(paste0(' ', h1$breaks[i]), cex=6/8, units='user')/2 if(d2 - d1 >= 0) { - d1 <- h1$breaks[i] + graphics::strwidth(paste0(' ', h1$breaks[i], ' '), cex=6/8, units='user')/2 + d1 <- h1$breaks[i] + graphics::strwidth(paste0(' ', h1$breaks[i]), cex=6/8, units='user')/2 graphics::text(h1$breaks[i], 0.5, h1$breaks[i], cex=6/8, adj=c(0.5, 0.5)) - graphics::segments(h1$breaks[i], 1, h1$breaks[i], 0.9, lwd=0.5) - graphics::segments(h1$breaks[i], 0, h1$breaks[i], 0.1, lwd=0.5) + graphics::segments(h1$breaks[i], 1, h1$breaks[i], 0.85, lwd=0.5) + graphics::segments(h1$breaks[i], 0, h1$breaks[i], 0.15, lwd=0.5) } } + graphics::text(h1$breaks[1]-diff(xval)*0.015, 1, '0', cex=6/8, adj=c(1,0.4)) + + graphics::segments(h1$breaks[1], 1, max(h1$breaks), 1, col='black', lwd=0.5) + graphics::segments(h1$breaks[1], 0, max(h1$breaks), 0, col='black', lwd=0.5) + + graphics::text(max(c(h1$breaks, h2$breaks))+diff(xval)*0.015, 0, '0', cex=6/8, adj=c(0,0.4)) + } graphics::par(mar=c(0.1,0,0,0)) opar <- graphics::par(lwd=0.5) - plot(NA, NA, type='n', xlim=xval, ylim=c(max(h2$counts), 0), axes=FALSE, main='', xaxs='i', yaxs='i') ; { + plot(NA, NA, type='n', xlim=xval, ylim=c(1.02*max(h2$counts), 0), axes=FALSE, main='', xaxs='i', yaxs='i') ; { M <- max(h2$breaks) - for(yval in graphics::axTicks(4)){ - if(yval-graphics::strheight(yval, cex=6/8)/2 < max(h2$counts)) { - graphics::text(M+diff(xval)*0.015, yval, yval, cex=6/8, adj=c(0,ifelse(yval==0, 1, 0.6))) + yvals <- sort(graphics::axTicks(4)) + yvals <- yvals[yvals <= 1.02*max(h2$counts)] + bool=TRUE + last_plot <- 1 + for(yval in 1:length(yvals)){ + if(yvals[yval]-graphics::strheight(yvals[yval], cex=6/8)/2 < max(h2$counts)) { + if(yval > 1) { + if(yvals[yval]+1.5*graphics::strheight(yvals[yval], cex=6/8) < yvals[last_plot]) { + bool <- FALSE + } else { + bool <- TRUE + } + } + if(bool) { + graphics::text(M+diff(xval)*0.015, yvals[yval], yvals[yval], cex=6/8, adj=c(0,0.4)) + last_plot <- yval + } } - graphics::segments(M, yval, M-diff(xval)*0.012, yval) - graphics::segments(h2$breaks[1], yval, M, yval, col=ifelse(yval==0, 'black', 'grey90')) + graphics::segments(h2$breaks[1], yvals[yval], M, yvals[yval], col=ifelse(yvals[yval]==0, 'black', 'grey90')) + graphics::segments(M, yvals[yval], M-diff(xval)*0.012, yvals[yval]) } + plot(h2, add=TRUE, col='black', border='grey70') - graphics::segments(M,0,M, max(h2$counts)) + graphics::segments(M,0,M, 1.02*max(h2$counts)) graphics::segments(h1$breaks[1],0,max(h1$breaks),0) graphics::par(opar) } - graphics::text(xval[2], max(h2$counts)/2, 'Number of occurrences', cex=6/8, adj=c(0.5, 1), srt=-90) + + bool <- TRUE + for(labs in c('Number of occurrences', 'Nb of occurrences', 'Number of occ.', 'Nb of occ.', '# occ.')) { + if( graphics::strwidth(labs, units='inches', cex=6/8) < (y1-y3)/2 & bool) { + graphics::text(xval[2], max(h2$counts)/2, paste0('\n',labs), cex=6/8, adj=c(0.5, 1), srt=-90) + bool <- FALSE + } + } } if(save) { diff --git a/R/plot.combinedPDFS.R b/R/plot.combinedPDFS.R index 04febd9..67ae72f 100644 --- a/R/plot.combinedPDFS.R +++ b/R/plot.combinedPDFS.R @@ -217,7 +217,6 @@ plot_combinedPDFs <- function( x, ages=range(x$inputs$x), if(length(ordered_tax) > 0) { for(tax in 1:length(ordered_tax)) { - print(tax) graphics::segments(0, tax+0.5, 0.20, tax+0.5, #lwd=max(0.2, log10(1+10*x$modelling$weights[s, ordered_tax[tax]])), lwd=max(0.2, 1.5*sqrt(x$modelling$weights[s, ordered_tax[tax]])), diff --git a/R/plot.diagram.R b/R/plot.diagram.R index 85df772..d6b5366 100644 --- a/R/plot.diagram.R +++ b/R/plot.diagram.R @@ -50,7 +50,7 @@ plot_diagram <- function(x, bars=FALSE, save=FALSE, filename='Diagram.pdf', width=3.54, height= 9, as.png = FALSE, png.res=300, - yax_incr = 5, bar_width = diff(range(x$inputs$x))/50, + yax_incr = 5, bar_width = diff(range(x$inputs$x))/length(x$inputs$x), xlim=NA, tickAtSample=TRUE, col_pos = 'black', col_neg='grey80', title=NA, src=NA) { diff --git a/R/plot.loo.R b/R/plot.loo.R index 8a1c2bb..495bf01 100644 --- a/R/plot.loo.R +++ b/R/plot.loo.R @@ -54,7 +54,7 @@ plot_loo <- function( x, optima=TRUE, save=FALSE, filename='Diagram_loo.pdf', as.png = FALSE, png.res=300, width=3.54, height= 9, - yax_incr = NA, bar_width = diff(range(x$inputs$x))/50, + yax_incr = NA, bar_width = diff(range(x$inputs$x))/length(x$inputs$x), xlim=NA, tickAtSample=FALSE, sort=NA, filter = 0, col_pos = 'black', col_neg='grey80', title=NA ) { diff --git a/R/plot.speciesCharacteristics.R b/R/plot.speciesCharacteristics.R index 8ecbb98..9680b9e 100644 --- a/R/plot.speciesCharacteristics.R +++ b/R/plot.speciesCharacteristics.R @@ -49,12 +49,12 @@ #' plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, climate = x$parameters$climate, - col.density = viridis::plasma(20), + col.density = viridis::plasma(20)[5:20], col.climate = viridis::viridis(22)[3:20], save = FALSE, filename = 'taxaCharacteristics.pdf', as.png = FALSE, png.res=300, - width = 7.48, w0 = 0.3, - height = 3*length(climate), h0 = 0.4, + width = 7.48, w0 = 0.2, + height = 3*length(climate)+h0, h0 = 0.4, add_modern = FALSE, resol = 0.25 ) { @@ -109,15 +109,12 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, x0 <- width - w0 x3 <- x0 / 3 - y2 <- min(x3 / xy_ratio, height / 3) - y1 <- height - length(climate) * y2 - x1 <- max(y1 * xy_ratio, 1.5 * x3 ) - x1 <- min(x1, 2 * x3 - 0.1) - x2 <- x0 - x1 + y1 <- height / (length(climate)+1) + y2 <- 0.25 if(save) { - y1.tmp <- x1 / xy_ratio - opt_height <- round(length(climate) * y2 + y1.tmp, 3) + y1.tmp <- x3 / xy_ratio + opt_height <- round(length(climate) * y1 + y1.tmp, 3) if ((opt_height / height) >= 1.05 | (opt_height / height) <= 0.95) { cat('SUGGEST: Using height =', opt_height, 'would get rid of all the white spaces.\n') } @@ -153,12 +150,12 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, if (sum(x$inputs$selectedTaxa[tax, x$parameters$climate]) < 0) { ## Defining plotting matrix -------------------------------------------- - m1 <- matrix(c(5,2,2,1,1,5,2,2,3,3,5,2,2,4,4), ncol=5, byrow=TRUE) - m2 <- matrix(rep(c(1,2,3,3,4,1,2,3,3,4) , length(climate)) + 5 + 4*rep(1:length(climate)-1, each=10), ncol=5, byrow=TRUE) - + m1 <- matrix(c(6,3,2,1,6,3,4,4,6,3,5,5), ncol=4, byrow=TRUE) + m2 <- matrix(rep(c(1,2,3,5,1,2,4,6) , length(climate)) + 6 + 6*rep(1:length(climate)-1, each=8), ncol=4, byrow=TRUE) graphics::layout(rbind(m1, m2), - width = c(w0, x3, x1-x3, x2-x3, x3), - height = c(h0, y1-2*h0, h0, rep(c(y2-h0, h0), times=length(climate)))) + width = c(w0, x3, x3, x3), + height = c(h0, y1-2*h0, h0, rep(c(y1-h0, h0), times=length(climate)))) + graphics::par(mar=c(0,0,0,0), ps=8*3/2) graphics::plot(NA, NA, type='n', frame=FALSE, axes=FALSE, xlim=c(0,1), ylim=c(0,1)) @@ -169,44 +166,52 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, graphics::text(0.5, 0.5, 'No data\navailable', adj=c(0.5, 0.5), cex=1) if (is.data.frame(x$inputs$df)) { - if(is.numeric(x$inputs$x)) { xval <- range(x$inputs$x) xx <- x$inputs$x } else { - warning("The plotting function is not (yet) adapted to non-numeric x values. The sample names were replaced by numeric indexes.") + warning("The plotting function is not adapted to non-numeric x values. The sample names were replaced by numeric indexes.") xx <- 1:length(x$inputs$x) xval <- range(xx) } + labs_width <- graphics::strwidth('100.0 ', cex=6/8, units='inches') + space_width <- graphics::strwidth(' ', cex=6/8, units='inches') + dX <- diff(xval) - xval <- xval + c(-0.07, 0.02)*dX - graphics::par(mar=c(0,0,1,0.25)) - opar <- graphics::par(lwd=0.5) - graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1.02 * max(x$inputs$df[, tax])), axes=FALSE, main='', xaxs='i', yaxs='i') ; { + xval <- xval + c(-labs_width, 1.1*space_width) * diff(xval) / (2*x3 - labs_width - space_width) + + graphics::par(mar=c(0,0,0.2,0.2)) + opar <- graphics::par(lwd=0.8) + graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1.03 * max(x$inputs$df[, tax])), axes=FALSE, frame=FALSE, main='', xaxs='i', yaxs='i') ; { + + space_width <- diff(range(range(x$inputs$x))) * space_width / (2*x3 - labs_width - 2*space_width) + for(yval in graphics::axTicks(2)){ if (yval < max(x$inputs$df[, tax])) { - graphics::segments(min(xx)-dX*0.02, yval, max(xx)+dX*0.02, yval, col=ifelse(yval==0, 'black', 'grey90')) - graphics::segments(min(xx)-dX*0.02, yval, min(xx), yval) - graphics::segments(max(xx)+dX*0.02, yval, max(xx), yval) - graphics::text(min(xx)-dX*0.03, yval, yval, cex=6/8, adj=c(1,ifelse(yval==0, 0, 0.4))) + graphics::segments(min(xx)-space_width, yval, max(xx)+space_width, yval, col=ifelse(yval==0, 'black', 'grey90')) + graphics::segments(min(xx)-space_width, yval, min(xx), yval) + graphics::segments(max(xx)+space_width, yval, max(xx), yval) + graphics::text(min(xx)-2*space_width, yval, yval, cex=6/8, adj=c(1,ifelse(yval==0, 0, 0.4))) } } - graphics::rect(min(xx)-dX*0.02,0,max(xx)+dX*0.02, 1.02*max(x$inputs$df[, tax])) + graphics::rect(min(xx)-space_width,0,max(xx)+space_width, 1.02*max(x$inputs$df[, tax])) graphics::points(xx, x$inputs$df[, tax], type='o', pch=15, lwd=0.5) + } - graphics::par(mar=c(0.5,0.25,0,0.5)) - graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1), axes=FALSE, main='', xaxs='i', yaxs='i') - graphics::text(mean(range(xx)), 0.3, x$inputs$x.name, font=1, adj=c(0.5, 0.5), cex=0.6) - for(xval in graphics::axTicks(1)){ - if(xval >= min(xx)) { - graphics::segments(xval, 1, xval, 0.9) - graphics::text(xval, 0.85, xval, cex=6/8, adj=c(0.5,1)) - } + graphics::par(mar=c(0.2,0,0,0.2)) + graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1), axes=FALSE, main='', xaxs='i', yaxs='i') + graphics::text(mean(range(xx)), 0.3, x$inputs$x.name, font=1, adj=c(0.5, 0.5), cex=6/8) + for(xvl in graphics::axTicks(1)){ + if(xvl >= min(xx)) { + graphics::segments(xvl, 1, xvl, 0.9) + dff <- xvl+graphics::strwidth(xvl, cex=6/8, units='user')/2 - xval[2] + graphics::text(xvl - ifelse(dff < 0, 0, dff), + 0.85, xvl, cex=6/8, adj=c(0.5,1)) } - - graphics::par(opar) } + + graphics::par(opar) } else { graphics::par(mar=c(0.1,0.1,0.1,0.1)) graphics::plot(NA, NA, frame=TRUE, axes=FALSE, xlim=c(0,1), ylim=c(0,1), xaxs='i', yaxs='i') @@ -223,7 +228,16 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, for(clim in climate) { graphics::par(mar=c(0,0,0,0)) graphics::plot(NA, NA, frame=FALSE, axes=FALSE, xlim=c(0,1), ylim=c(0,1)) - graphics::text(0.5, 0.5, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), srt=90, cex=1) + + i=8 + lab_width <- graphics::strwidth(accClimateVariables(clim)[3], cex=1, units='inches') + lab_width <- lab_width * 1 / y1 + while(lab_width > 1) { + i <- i-1 + lab_width <- graphics::strwidth(accClimateVariables(clim)[3], cex=i/8, units='inches') + lab_width <- lab_width * 1 / y1 + } + graphics::text(0.5, 0.5, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), srt=90, cex=i/8) graphics::par(mar=c(0.1,0.1,0.1,0.1)) for(i in 1:3) { @@ -245,12 +259,12 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, } ## Defining plotting matrix -------------------------------------------- - m1 <- matrix(c(5,2,2,1,1,5,2,2,3,3,5,2,2,4,4), ncol=5, byrow=TRUE) - m2 <- matrix(rep(c(1,2,3,3,5,1,2,4,4,6) , length(climate)) + 5 + 6*rep(1:length(climate)-1, each=10), ncol=5, byrow=TRUE) + m1 <- matrix(c(6,3,2,1,6,3,4,4,6,3,5,5), ncol=4, byrow=TRUE) + m2 <- matrix(rep(c(1,2,3,5,1,2,4,6) , length(climate)) + 6 + 6*rep(1:length(climate)-1, each=8), ncol=4, byrow=TRUE) graphics::layout(rbind(m1, m2), - width = c(w0, x3, x1-x3, x2-x3, x3), - height = c(h0, y1-2*h0, h0, rep(c(y2-h0, h0), times=length(climate)))) + width = c(w0, x3, x3, x3), + height = c(h0, y1-h0-y2, y2, rep(c(y1-y2, y2), times=length(climate)))) veg_space <- distribs[[tax]][, c('longitude', 'latitude')] @@ -262,6 +276,11 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, veg_space <- terra::rast(veg_space, type='xyz', crs=terra::crs("+proj=longlat +datum=WGS84 +no_defs")) + graphics::par(mar=c(0,0,0,0)) + graphics::plot(NA, NA, frame=FALSE, axes=FALSE, xlim=c(0,1), ylim=c(0,1)) + graphics::text(0.5, 0.7, tax, font=2, adj=c(0.5, 0.5), cex=10/8) + graphics::text(0.5, 0.3, paste0('(', ncol(x$modelling$pdfs[[tax]][[clim]]$pdfsp), ' species)'), adj=c(0.5, 0.5), cex=7/8) + ## Plot species abundance -------------------------------------------------- zlab=c(0, ceiling(max(terra::values(veg_space), na.rm=TRUE))) @@ -282,8 +301,9 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, plot_map_eqearth(veg_space, ext, zlim = zlab, brks.pos=log10(clab), brks.lab=clab, col=col.density, site_xy = site_xy, - title='Number of unique species occurences per grid cell', - dim=c(x1*width/(w0+x1+x2), y1*height/(y1+y2*length(climate)))) + title='Number of species occurences per grid cell', + dim=c(x3*width/(w0+3*x3), y1*height/(y1+y1*length(climate)))) + #dim=c(x3*width/(w0+x1+x2), y2*height/(y1+y2*length(climate)))) ## Plot the time series ------------------------------------------------ @@ -296,35 +316,43 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, xx <- 1:length(x$inputs$x) xval <- range(xx) } - dX <- diff(xval) - xval <- xval + c(-0.07, 0.02)*dX - graphics::par(mar=c(0,0,1,0.25)) - opar <- graphics::par(lwd=0.5) - graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1.02 * max(x$inputs$df[, tax])), axes=FALSE, main='', xaxs='i', yaxs='i') ; { + labs_width <- graphics::strwidth('100.0 ', cex=6/8, units='inches') + space_width <- graphics::strwidth(' ', cex=6/8, units='inches') + + dX <- diff(xval) + xval <- xval + c(-labs_width, 1.1*space_width) * diff(xval) / (2*x3 - labs_width - space_width) + + graphics::par(mar=c(0,0,0.2,0.4)) #@ Double the left margin relative to the other lines which have half the size. + opar <- graphics::par(lwd=0.8) + graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1.03 * max(x$inputs$df[, tax])), axes=FALSE, frame=FALSE, main='', xaxs='i', yaxs='i') ; { + + space_width <- diff(range(range(x$inputs$x))) * space_width / (2*x3 - labs_width - 2*space_width) for(yval in graphics::axTicks(2)){ if (yval < max(x$inputs$df[, tax])) { - graphics::segments(min(xx)-dX*0.02, yval, max(xx)+dX*0.02, yval, col=ifelse(yval==0, 'black', 'grey90')) - graphics::segments(min(xx)-dX*0.02, yval, min(xx), yval) - graphics::segments(max(xx)+dX*0.02, yval, max(xx), yval) - graphics::text(min(xx)-dX*0.03, yval, yval, cex=6/8, adj=c(1,ifelse(yval==0, 0, 0.4))) + graphics::segments(min(xx)-space_width, yval, max(xx)+space_width, yval, col=ifelse(yval==0, 'black', 'grey90')) + graphics::segments(min(xx)-space_width, yval, min(xx), yval) + graphics::segments(max(xx)+space_width, yval, max(xx), yval) + graphics::text(min(xx)-2*space_width, yval, yval, cex=6/8, adj=c(1,ifelse(yval==0, 0, 0.4))) } } - graphics::rect(min(xx)-dX*0.02,0,max(xx)+dX*0.02, 1.02*max(x$inputs$df[, tax])) - graphics::points(xx, x$inputs$df[, tax], type='o', pch=15, lwd=0.5) + graphics::rect(min(xx)-space_width,0,max(xx)+space_width, 1.02*max(x$inputs$df[, tax])) + graphics::points(xx, x$inputs$df[, tax], type='o', pch=15, lwd=0.5, cex=0.8) } - graphics::par(mar=c(0.5,0.25,0,0.5)) + graphics::par(mar=c(0.2,0,0,0.4)) graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1), axes=FALSE, main='', xaxs='i', yaxs='i') - graphics::text(mean(range(xx)), 0.3, x$inputs$x.name, font=1, adj=c(0.5, 0.5), cex=6/8) + graphics::text(mean(range(xx)), 0.25, x$inputs$x.name, font=1, adj=c(0.5, 0.5), cex=6/8) for(xvl in graphics::axTicks(1)){ if(xvl >= min(xx)) { graphics::segments(xvl, 1, xvl, 0.9) dff <- xvl+graphics::strwidth(xvl, cex=6/8, units='user')/2 - xval[2] graphics::text(xvl - ifelse(dff < 0, 0, dff), - 0.85, xvl, cex=6/8, adj=c(0.5,1)) + 0.80, xvl, cex=6/8, adj=c(0.5,1)) } } + graphics::rect(min(xx)-space_width,1,max(xx)+space_width, 1) + graphics::text(min(xx)-2*space_width, 1, '0', cex=6/8, adj=c(1,0)) graphics::par(opar) } else { @@ -339,25 +367,33 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, ## Plot the taxon name ------------------------------------------------- graphics::par(mar=c(0,0,0,0)) graphics::plot(NA, NA, frame=FALSE, axes=FALSE, xlim=c(0,1), ylim=c(0,1)) - graphics::text(0.5, 0.5, tax, font=2, adj=c(0.5, 0.5), srt=90, cex=10/8) + graphics::text(0.5, 0.5, 'Density distribution', font=1, adj=c(0.5, 0.5), srt=90, cex=8/8) - max_hist <- max_pdfs <- 0 - for(clim in climate) { - h1 <- graphics::hist(climate_space[, clim], - breaks=c(x$modelling$ccs[[clim]]$k1, max(x$modelling$ccs[[clim]]$k1)+diff(x$modelling$ccs[[clim]]$k1[1:2])), - plot=FALSE) + #max_hist <- max_pdfs <- 0 + #for(clim in climate) { + # h1 <- graphics::hist(climate_space[, clim], + # breaks=c(x$modelling$ccs[[clim]]$k1, max(x$modelling$ccs[[clim]]$k1)+diff(x$modelling$ccs[[clim]]$k1[1:2])), + # plot=FALSE) - max_hist <- max(max_hist, max(graphics::strwidth(grDevices::axisTicks(c(0, 1.02*max(h1$counts)), FALSE), cex=6/8, units='inches')))*1.3 - max_pdfs <- max(max_pdfs, max(graphics::strwidth(grDevices::axisTicks(c(0, 1.02*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp)), FALSE), cex=6/8, units='inches')))*1.3 - } + # max_hist <- max(max_hist, max(graphics::strwidth(grDevices::axisTicks(c(0, 1.02*max(h1$counts)), FALSE), cex=6/8, units='inches')))*1.3 + # max_pdfs <- max(max_pdfs, max(graphics::strwidth(grDevices::axisTicks(c(0, 1.02*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp)), FALSE), cex=6/8, units='inches')))*1.3 + #} for(clim in climate) { - ## Plot the variable name -------------------------------------------- graphics::par(mar=c(0,0,0,0)) graphics::plot(NA, NA, frame=FALSE, axes=FALSE, xlim=c(0,1), ylim=c(0,1)) - graphics::text(0.5, 0.5, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), srt=90, cex=1) + + i=8 + lab_width <- graphics::strwidth(accClimateVariables(clim)[3], cex=1, units='inches') + lab_width <- lab_width * 1 / y1 + while(lab_width > 1) { + i <- i-1 + lab_width <- graphics::strwidth(accClimateVariables(clim)[3], cex=i/8, units='inches') + lab_width <- lab_width * 1 / y1 + } + graphics::text(0.5, 0.5, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), srt=90, cex=i/8) ## Plot the distribution over climate -------------------------------- @@ -374,7 +410,7 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, title=accClimateVariables(clim)[3], site_xy = site_xy, colour_scale=FALSE, top_layer=veg_space, - dim=c(x3*width/(w0+x1+x2), y2*height/(y1+y2*length(climate)))) + dim=c(x3*width/(w0+3*x3), y1*height/(y1+y1*length(climate)))) ## Plot the histogram ------------------------------------------------ @@ -385,20 +421,29 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, breaks=c(x$modelling$ccs[[clim]]$k1, max(x$modelling$ccs[[clim]]$k1)+diff(x$modelling$ccs[[clim]]$k1[1:2])), plot=FALSE) - graphics::par(mar=c(0,0,0.5,0.25)) + graphics::par(mar=c(0,0,0.2,0.2)) xval <- range(h1$breaks) + labs_width <- graphics::strwidth('9999999 ', cex=6/8, units='inches') + labs_width <- max(labs_width, graphics::strwidth(max(c(h1$counts, h2$counts)), cex=6/8, units='inches')) + space_width <- graphics::strwidth(' ', cex=6/8, units='inches') - xval[1] <- xval[1] - 1.5 * (max_hist + graphics::strheight('label', cex=6/8, units='inches')) * diff(xval) / (x1-x3 + x2-x3) + dX <- diff(xval) + xval <- xval + c(-labs_width, 1.1*space_width) * diff(xval) / (x3 - labs_width - space_width) + + yval <- c(0, 1.03*max(h1$counts)) + opar <- graphics::par(lwd=0.8) + graphics::plot(NA, NA, type='n', xlim=xval, ylim=yval, axes=FALSE, frame=FALSE, main='', xaxs='i', yaxs='i') ; { + + space_width <- diff(range(h1$breaks)) * space_width / (x3 - labs_width - 2*space_width) - yval <- c(0, 1.02*max(h1$counts)) - opar <- graphics::par(lwd=0.5) - graphics::plot(NA, NA, type='n', xlim=xval, ylim=yval, axes=FALSE, main='', xaxs='i', yaxs='i') ; { for(yvl in graphics::axTicks(2)){ - graphics::segments(h1$breaks[1], yvl, max(h1$breaks), yvl, col=ifelse(yvl==0, 'black', 'grey90')) - graphics::segments(h1$breaks[1], yvl, h1$breaks[1]+diff(xval)*0.012, yvl) - graphics::segments(max(h1$breaks), yvl, max(h1$breaks)-diff(xval)*0.012, yvl) - dff <- yvl+graphics::strheight(yvl, cex=6/8, units='user')/2 - yval[2] - graphics::text(h1$breaks[1]-diff(xval)*0.015, yvl - ifelse(dff < 0, 0, dff*2), yvl, cex=6/8, adj=c(1,ifelse(yvl==0, 0, 0.4))) + if(yvl <= 1.02*max(h1$counts)) { + graphics::segments(h1$breaks[1], yvl, max(h1$breaks), yvl, col=ifelse(yvl==0, 'black', 'grey90')) + graphics::segments(h1$breaks[1], yvl, h1$breaks[1]+space_width, yvl) + graphics::segments(max(h1$breaks), yvl, max(h1$breaks)-space_width, yvl) + dff <- yvl+graphics::strheight(yvl, cex=6/8, units='user')/2 - yval[2] + graphics::text(h1$breaks[1]-space_width, yvl - ifelse(dff < 0, 0, dff*2), yvl, cex=6/8, adj=c(1,ifelse(yvl==0, 0, 0.4))) + } } graphics::rect(h1$breaks[1],0,max(h1$breaks), 1.02*max(h1$counts)) graphics::plot(h1, add=TRUE, col=grDevices::colorRampPalette(col.climate)( length(brks)-1 )) @@ -406,62 +451,76 @@ plot_taxaCharacteristics <- function( x, taxanames = x$inputs$taxa.name, } graphics::text(xval[1], 1.02*max(h1$counts)/2, 'Number of occurrences', cex=6/8, adj=c(0.5, 1), srt=90) - graphics::par(mar=c(0.5,0,0,0.25)) - graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1), axes=FALSE, main='', xaxs='i', yaxs='i') - graphics::text(mean(range(h1$breaks)), 0.3, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), cex=6/8) + graphics::par(mar=c(0.2,0,0,0.2)) + graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1), axes=FALSE, frame=FALSE, main='', xaxs='i', yaxs='i') + graphics::text(mean(range(h1$breaks)), 0.25, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), cex=6/8) if(add_modern) { if(is.numeric(x$misc$site_info$climate[, clim])) { - graphics::points(x$misc$site_info$climate[, clim], 0.9, pch=24, col=NA, bg='red', cex=0.9, lwd=1.5) + graphics::points(x$misc$site_info$climate[, clim], 0.9, pch=24, col=NA, bg='red', cex=0.75, lwd=1.5) } } for(xvl in graphics::axTicks(1)){ if(xvl >= h1$breaks[1]) { graphics::segments(xvl, 1, xvl, 0.9) dff <- xvl+graphics::strwidth(xvl, cex=6/8, units='user')/2 - xval[2] - graphics::text(xvl - ifelse(dff < 0, 0, dff), 0.85, xvl, cex=6/8, adj=c(0.5,1)) + graphics::text(xvl - ifelse(dff < 0, 0, dff), 0.80, xvl, cex=6/8, adj=c(0.5,1)) } } + graphics::segments(h1$breaks[1],1,max(h1$breaks), 1) + graphics::text(h1$breaks[1]-space_width, 1, '0', cex=6/8, adj=c(1,0)) + ## Plot the pdfs ----------------------------------------------------- - graphics::par(mar=c(0,0.25,0.5,0.5)) + graphics::par(mar=c(0,0,0.2,0.2)) xval <- range(x$modelling$xrange[[clim]], na.rm=TRUE) - xval[1] <- xval[1] - 1.5 * (max_pdfs + graphics::strheight('label', cex=6/8, units='inches')) * diff(xval) / (x1-x3 + x2-x3) + labs_width <- graphics::strwidth('9999999 ', cex=6/8, units='inches') + #labs_width <- max(labs_width, graphics::strwidth(max(c(h1$counts, h2$counts)), cex=6/8, units='inches')) + space_width <- graphics::strwidth(' ', cex=6/8, units='inches') + + dX <- diff(xval) + xval <- xval + c(-labs_width, 1.1*space_width) * diff(xval) / (x3 - labs_width - 2*space_width) + + yval <- c(0, 1.03*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp)) + graphics::plot(NA, NA, type='n', xlim=xval, ylim=yval, axes=FALSE, frame=FALSE, main='', xaxs='i', yaxs='i') + + space_width <- diff(range(x$modelling$xrange[[clim]], na.rm=TRUE)) * space_width / (x3 - labs_width - 2*space_width) - yval <- c(0, 1.02*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp)) - graphics::plot(NA, NA, type='n', xlim=xval, ylim=yval, axes=FALSE, main='', xaxs='i', yaxs='i') npoints <- x$parameters$npoints for(yvl in graphics::axTicks(2)){ - graphics::segments(x$modelling$xrange[[clim]][1], yvl, x$modelling$xrange[[clim]][npoints], yvl, col=ifelse(yvl==0, 'black', 'grey90')) - graphics::segments(x$modelling$xrange[[clim]][1], yvl, x$modelling$xrange[[clim]][1]+diff(xval)*0.012, yvl) - graphics::segments(x$modelling$xrange[[clim]][npoints], yvl, x$modelling$xrange[[clim]][npoints]-diff(xval)*0.012, yvl) - dff <- yvl+graphics::strheight(yvl, cex=6/8, units='user')/2 - yval[2] - graphics::text(x$modelling$xrange[[clim]][1]-diff(xval)*0.015, yvl - ifelse(dff < 0, 0, dff*2), yvl, cex=6/8, adj=c(1,ifelse(yvl==0, 0, 0.4))) + if(yvl <= 1.02*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp)) { + graphics::segments(x$modelling$xrange[[clim]][1], yvl, x$modelling$xrange[[clim]][npoints], yvl, col=ifelse(yvl==0, 'black', 'grey90')) + graphics::segments(x$modelling$xrange[[clim]][1], yvl, x$modelling$xrange[[clim]][1]+space_width, yvl) + graphics::segments(x$modelling$xrange[[clim]][npoints], yvl, x$modelling$xrange[[clim]][npoints]-space_width, yvl) + dff <- yvl+graphics::strheight(yvl, cex=6/8, units='user')/2 - yval[2] + graphics::text(x$modelling$xrange[[clim]][1]-space_width, yvl - ifelse(dff < 0, 0, dff*2), yvl, cex=6/8, adj=c(1,ifelse(yvl==0, 0, 0.4))) + } } for(i in 1:ncol(x$modelling$pdfs[[tax]][[clim]]$pdfsp)) { graphics::points(x$modelling$xrange[[clim]], x$modelling$pdfs[[tax]][[clim]]$pdfsp[, i], col='grey70', type='l') } - graphics::text(max(x$modelling$xrange[[clim]]), 0.98*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp), paste(ncol(x$modelling$pdfs[[tax]][[clim]]$pdfsp), 'species '), adj=c(1,1), cex=7/8) graphics::polygon(x$modelling$xrange[[clim]][c(1,1:npoints, npoints)], c(0, x$modelling$pdfs[[tax]][[clim]]$pdfpol, 0), col='black') graphics::rect(x$modelling$xrange[[clim]][1],0,x$modelling$xrange[[clim]][npoints], 1.02*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp)) graphics::text(xval[1], 1.02*max(x$modelling$pdfs[[tax]][[clim]]$pdfsp)/2, 'Density of probability', cex=6/8, adj=c(0.5, 1), srt=90) - graphics::par(mar=c(0.5,0.25,0,0.5)) + graphics::par(mar=c(0.2,0,0,0.2)) graphics::plot(NA, NA, type='n', xlim=xval, ylim=c(0, 1), axes=FALSE, main='', xaxs='i', yaxs='i') - graphics::text(mean(range(x$modelling$xrange[[clim]])), 0.3, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), cex=6/8) + graphics::text(mean(range(x$modelling$xrange[[clim]])), 0.25, accClimateVariables(clim)[3], font=1, adj=c(0.5, 0.5), cex=6/8) if(add_modern) { if(is.numeric(x$misc$site_info$climate[, clim])) { - graphics::points(x$misc$site_info$climate[, clim], 0.9, pch=24, col=NA, bg='red', cex=0.9, lwd=1.5) + graphics::points(x$misc$site_info$climate[, clim], 0.9, pch=24, col=NA, bg='red', cex=0.75, lwd=1.5) } } for(xvl in graphics::axTicks(1)){ if(xvl >= ifelse(x$parameters$shape[clim,]=='normal',x$modelling$xrange[[clim]][1], 0)) { graphics::segments(xvl, 1, xvl, 0.9) dff <- xvl+graphics::strwidth(xvl, cex=6/8, units='user')/2 - xval[2] - graphics::text(xvl - ifelse(dff < 0, 0, dff), 0.85, xvl, cex=6/8, adj=c(0.5,1)) + graphics::text(xvl - ifelse(dff < 0, 0, dff), 0.80, xvl, cex=6/8, adj=c(0.5,1)) } } + graphics::rect(x$modelling$xrange[[clim]][1],1,x$modelling$xrange[[clim]][npoints], 1) + graphics::text(x$modelling$xrange[[clim]][1]-space_width, 1, '0', cex=6/8, adj=c(1,0)) graphics::par(opar) } diff --git a/R/plot.utils.R b/R/plot.utils.R index 028890b..7893106 100644 --- a/R/plot.utils.R +++ b/R/plot.utils.R @@ -119,20 +119,28 @@ plot_map_eqearth <- function(dat, ext=as.vector(terra::ext(dat)), zlim=range(ter if (inherits(dat, 'SpatRaster')) dat <- terra::crop(dat, bckg.eqearth) ext.eqearth <- terra::ext(bckg.eqearth) - ext_factor_x <- max(graphics::strwidth(paste0(' ', round(as.numeric(names(horizontals.eqearth)),2)), units='inches', cex=6/8)) - ext_factor_y <- max(graphics::strheight(paste0('\n', round(as.numeric(names(verticals.eqearth)),2)), units='inches', cex=6/8)) - if(is.na(dim)[1]) dim <- grDevices::dev.size('in') - ext.eqearth[1:2] <- ext.eqearth[1:2] + (ext.eqearth[2]-ext.eqearth[1])/dim[1] * c(-ext_factor_x, 0.05) - ext.eqearth[3:4] <- ext.eqearth[3:4] + (ext.eqearth[4]-ext.eqearth[3])/dim[2] * c(-ext_factor_y, 0.05) + max_length_y_labs <- 1.25*max(graphics::strwidth(paste0('', round(seq(ext[3], ext[4], length.out=npoints),2)), units='inches', cex=6/8)) + max_length_x_labs <- 1.1*max(graphics::strwidth(paste0(' ', round(ext[2],2)), units='inches', cex=6/8)) + + max_height_y_labs <- 1.25*max(graphics::strheight(paste0('', round(seq(ext[3], ext[4], length.out=npoints),2)), units='inches', cex=6/8)) + max_height_x_labs <- 1.5*max(graphics::strheight(paste0('', round(seq(ext[1], ext[2], length.out=npoints),2)), units='inches', cex=6/8)) + + ## Ratio of map unit range to inches avail for map + inches2map_units <- diff(ext.eqearth[1:2]) / (dim[1]-max_length_y_labs-max_length_x_labs/2) + + ## left: we add size of the largest y-axis label + ## right: we add half the width of the last x-axis label + ext.eqearth[1:2] <- ext.eqearth[1:2] + c(-max_length_y_labs*inches2map_units, max_length_x_labs*inches2map_units/2) + ext.eqearth[3:4] <- ext.eqearth[3:4] + c(-max_height_x_labs*inches2map_units, max_height_y_labs*inches2map_units/2) ## ........................................................................... ## Plotting colour scale ..................................................... if(colour_scale) { xlab <- c(-0.2,1.2) - xlab <- xlab + diff(xlab)/dim[1] * c(-ext_factor_x, 0.05) + xlab <- xlab + diff(xlab)/dim[1] * c(-max_length_y_labs, max_length_x_labs/2) plot(NA, NA, type='n', xlab='', ylab='', main='', axes=FALSE, frame=FALSE, xlim=xlab, ylim=c(-0.05,1), xaxs='i', yaxs='i') @@ -164,7 +172,7 @@ plot_map_eqearth <- function(dat, ext=as.vector(terra::ext(dat)), zlim=range(ter } graphics::rect(0,0,1,0.3, lwd=0.5) - graphics::text(0.5, 0.85, title, font=2, cex=cex, adj=c(0.5,1)) + graphics::text(0.5, 0.9, title, font=2, cex=cex, adj=c(0.5,1)) } ## ........................................................................... @@ -194,45 +202,49 @@ plot_map_eqearth <- function(dat, ext=as.vector(terra::ext(dat)), zlim=range(ter } labels.lon <- rep(FALSE, length(verticals.eqearth.x)) names.lon <- round(seq(ext[1], ext[2], length.out=nlines), 2) + last_plot <- 0 for(v in 1:length(verticals.eqearth.x)) { overlap <- FALSE if(v > 1 ) { - if (labels.lon[v-1]) { - d1 <- graphics::strwidth(paste0('\n ', names.lon[v-1], ' '), cex=6/8) - d2 <- graphics::strwidth(paste0('\n ', names.lon[v], ' '), cex=6/8) - if (verticals.eqearth.x[v-1] + d1 / 2 >= verticals.eqearth.x[v] - d2 / 2) { + if (labels.lon[last_plot]) { + d1 <- 1.25*graphics::strwidth(paste0('', names.lon[last_plot], ' '), cex=6/8) + d2 <- graphics::strwidth(paste0('', names.lon[v], ' '), cex=6/8) + if (verticals.eqearth.x[last_plot] + d1 / 2 >= verticals.eqearth.x[v] - d2 / 2) { overlap <- TRUE } } } if (!overlap){ - graphics::text(verticals.eqearth.x[v], min(horizontals.eqearth.xy[,2]), - paste0('\n', names.lon[v]), - cex=6/8, adj=c(0.5,0.7) + graphics::text(verticals.eqearth.x[v], min(horizontals.eqearth.xy[,2])-max_height_x_labs/3*inches2map_units, + names.lon[v], + cex=6/8, adj=c(0.5,1) ) labels.lon[v] <- TRUE + last_plot <- v } } labels.lat <- rep(FALSE, length(horizontals.eqearth.y)) names.lat <- round(seq(ext[3], ext[4], length.out=nlines), 2) + last_plot <- nrow(horizontals.eqearth.xy) for(h in nrow(horizontals.eqearth.xy):1) { overlap <- FALSE if(h < nrow(horizontals.eqearth.xy)) { - if (labels.lat[h+1]) { - d1 <- graphics::strheight(paste0('', names.lat[h+1], ' '), cex=6/8) - d2 <- graphics::strheight(paste0('', names.lat[h], ' '), cex=6/8) - if (horizontals.eqearth.y[h+1] - d1 / 2 <= horizontals.eqearth.y[h] + d2 / 2) { + if (labels.lat[last_plot]) { + d1 <- 1.5*graphics::strheight(names.lat[last_plot], cex=6/8) + d2 <- graphics::strheight(names.lat[h], cex=6/8) + if (horizontals.eqearth.y[last_plot] - d1 / 2 <= horizontals.eqearth.y[h] + d2 / 2) { overlap <- TRUE } } } if (!overlap){ graphics::text(horizontals.eqearth.xy[h, 1], horizontals.eqearth.xy[h, 2], - paste0(names.lat[h],' '), + paste0(names.lat[h], ' '), cex=6/8, adj=c(1,0.4) ) labels.lat[h] <- TRUE + last_plot <- h } } diff --git a/R/sysdata.rda b/R/sysdata.rda index d5688276b9c8806d4d7d05883acc686f3e4be774..106f2332d5d31e1016c46ad97ea6a2db16225157 100644 GIT binary patch delta 18184 zcmV)0K+eCMjscjC0S-c1XgM)KSte6im|#6@kq#<EQ_aAYo)8GIA3(tUk2go`D3!qTfDEY9w 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zvxzoh2y(-D4FYuYN5guXb9T}j?dr&pH9pqbhm|VPcPSBE;Vb`Ud*cVz;8P8@fbMQ- z+7xnB^LWv^d0uv_O?Q2R+<$e%YKrHh0{u`Y`x#D$C{D~N3o-oGnr@&LI45EBh+Wh| zjA9Y`FW^2@jx+yM5z0{&t081o_MX?r)X3pXQ8$f`0I;%|V#*I+Ptb=Ir5%XVHpsRaP9! zW*qjKTM-rZ)ZWWz!Nf4^xu5f*gFKg3YGRlX7B47NL*X@lJcN1e+&8ZaVMfGNIzB1m z#F@h>nWDY6d+w{9F$6A%NZxE?$54ZyWv_M%%qqdIUwyW@+w73d^ ztB=A8B3+y%#Z*pE(+&}V-tv^XRl2@c0VyVo>ZZbLI*e4VDS0sGO@XGk(%dguyNpH%YCLxf!OdL;H<%TNs%+R?njw%@A7#6d~zVeZ< zrMz*!a`sgGZz#oNyI(EU+YLX|*HoZHgmYbAVPpv~4>QphVaYtUH_z|vL!gC!1kbjp3s1W{=Vdse}& znY(cX7~aOn(#cvye8xO2Fd+2Y|9pYhan0`|VFRiE2I9%5E--)6yOo-dgls+;LP%S} zdU=+SgC}yTymo2?9jd8BUEj9f(B1Myfjn*(43WnH3|i)24+FoK{KfY`t9QC`fXqEA4AmOappWo851~JSX*x@9MHq=p zr1V69eWRKOesIH0Q%5<#IP?6%+LH+3a{dDw61rqkw>&&IrbuS_wRV0a9vg8w5biib zx9Th(2aI=^aTbK|^}<>diw#Hb>%-04Sya`#mUMfw+uZ!D`cC?qoe!sOzA5*PAC1jc zl~2kUA~#Hj_@RDZ#YqiY-E~S-7=#;8Z#n%)lDF^0w!2sI=s_T+enmE?z%$vFv2J2s zym{Y-`9o%8%(j-K;ZA>x&&|}f8wd5Kz>% diff --git a/man/plot_climateSpace.Rd b/man/plot_climateSpace.Rd index a2535c2..42207b6 100644 --- a/man/plot_climateSpace.Rd +++ b/man/plot_climateSpace.Rd @@ -14,7 +14,7 @@ plot_climateSpace( png.res = 300, width = 7.48, height = min(9, 3.5 * length(climate)), - y0 = 0.5, + y0 = 0.4, add_modern = FALSE, resol = 0.25 ) @@ -48,7 +48,7 @@ Default is \code{FALSE} and the figure is saved as a pdf file.} \item{height}{The height of the output file in inches (default 3in ~ 7.6cm per variables).} -\item{y0}{The space to allocate to each title (default 0.3in ~ 0.76 cm.} +\item{y0}{The space to allocate to each title (default 0.4in ~ 1 cm.} \item{add_modern}{A boolean to add the location and the modern climate values to the plot (default \code{FALSE}).} diff --git a/man/plot_diagram.Rd b/man/plot_diagram.Rd index 888d361..56c0b6c 100644 --- a/man/plot_diagram.Rd +++ b/man/plot_diagram.Rd @@ -16,7 +16,7 @@ plot_diagram( as.png = FALSE, png.res = 300, yax_incr = 5, - bar_width = diff(range(x$inputs$x))/50, + bar_width = diff(range(x$inputs$x))/length(x$inputs$x), xlim = NA, tickAtSample = TRUE, col_pos = "black", diff --git a/man/plot_loo.Rd b/man/plot_loo.Rd index 72b9cd1..1f7d534 100644 --- a/man/plot_loo.Rd +++ b/man/plot_loo.Rd @@ -17,7 +17,7 @@ plot_loo( width = 3.54, height = 9, yax_incr = NA, - bar_width = diff(range(x$inputs$x))/50, + bar_width = diff(range(x$inputs$x))/length(x$inputs$x), xlim = NA, tickAtSample = FALSE, sort = NA, diff --git a/man/plot_taxaCharacteristics.Rd b/man/plot_taxaCharacteristics.Rd index 5bf2556..d0a476c 100644 --- a/man/plot_taxaCharacteristics.Rd +++ b/man/plot_taxaCharacteristics.Rd @@ -8,15 +8,15 @@ plot_taxaCharacteristics( x, taxanames = x$inputs$taxa.name, climate = x$parameters$climate, - col.density = viridis::plasma(20), + col.density = viridis::plasma(20)[5:20], col.climate = viridis::viridis(22)[3:20], save = FALSE, filename = "taxaCharacteristics.pdf", as.png = FALSE, png.res = 300, width = 7.48, - w0 = 0.3, - height = 3 * length(climate), + w0 = 0.2, + height = 3 * length(climate) + h0, h0 = 0.4, add_modern = FALSE, resol = 0.25