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v1.0.5.22 remove the using of dev.new() in the plot.OutputsModel() when RStudio is not used because it causes some disorders when airGRteachin uses it in shiny (not plot in the interface when a script is called from Rscript.exe or R.exe)
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plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea = NULL, which = "all", log_scale = FALSE, verbose = TRUE, ...){ OutputsModel <- x if(!inherits(OutputsModel, "GR") & !inherits(OutputsModel, "CemaNeige")){ stop(paste("OutputsModel not in the correct format for default plotting \n", sep = "")) return(NULL) } BOOL_Dates <- FALSE; if("DatesR" %in% names(OutputsModel)){ BOOL_Dates <- TRUE; } BOOL_Pobs <- FALSE; if("Precip" %in% names(OutputsModel)){ BOOL_Pobs <- TRUE; } BOOL_Qsim <- FALSE; if("Qsim" %in% names(OutputsModel)){ BOOL_Qsim <- TRUE; } BOOL_Qobs <- FALSE; if(BOOL_Qsim & length(Qobs) == length(OutputsModel$Qsim)){ if(sum(is.na(Qobs)) != length(Qobs)){ BOOL_Qobs <- TRUE; } } BOOL_Snow <- FALSE; if("CemaNeigeLayers" %in% names(OutputsModel)){ if("SnowPack" %in% names(OutputsModel$CemaNeigeLayers[[1]])){ BOOL_Snow <- TRUE; } } BOOL_Psol <- FALSE; if("CemaNeigeLayers" %in% names(OutputsModel)){ if("Psol" %in% names(OutputsModel$CemaNeigeLayers[[1]])){ BOOL_Psol <- TRUE; } } if( is.null( which)){ stop("which must be a vector of character \n"); return(NULL); } if(!is.vector( which)){ stop("which must be a vector of character \n"); return(NULL); } if(!is.character(which)){ stop("which must be a vector of character \n"); return(NULL); } if (any(!which %in% c("all", "Precip", 'Temp', "SnowPack", "Flows", "Regime", "CumFreq", "CorQQ"))) { stop("Incorrect element found in argument which:\nit can only contain 'all', 'Precip', 'Temp', 'SnowPack', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'") return(NULL) } if (all(which %in% c("Temp", "SnowPack")) & !inherits(OutputsModel, "CemaNeige")) { stop("Incorrect element found in argument which:\nwithout CemaNeige it can only contain 'all', 'Precip', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'") return(NULL) } if (length(unique(which %in% c("Temp", "SnowPack"))) == 2 & !inherits(OutputsModel, "CemaNeige")) { warning("Incorrect element found in argument which:\nit can only contain 'all', 'Precip', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'\nwithout CemaNeige 'Temp' and 'SnowPack' are not available") } if ("all" %in% which) { which <- c("Precip", "Temp", "SnowPack", "Flows", "Regime", "CumFreq", "CorQQ") } if(!BOOL_Dates){ stop(paste("OutputsModel must contain at least DatesR to allow plotting \n", sep = "")); return(NULL); } if(inherits(OutputsModel, "GR") & !BOOL_Qsim){ stop(paste("OutputsModel must contain at least Qsim to allow plotting \n", sep = "")); return(NULL); } if(BOOL_Dates){ MyRollMean1 <- function(x, n){ return(filter(x, rep(1/n, n), sides = 2)); } MyRollMean2 <- function(x, n){ return(filter(c(tail(x, n%/%2), x, x[1:(n%/%2)]), rep(1/n, n), sides = 2)[(n%/%2+1):(length(x)+n%/%2)]); } BOOL_TS <- FALSE; TimeStep <- difftime(tail(OutputsModel$DatesR, 1), tail(OutputsModel$DatesR, 2), units = "secs")[[1]]; if(inherits(OutputsModel, "hourly" ) & TimeStep %in% ( 60*60)){ BOOL_TS <- TRUE; NameTS <- "hour" ; plotunit <- "[mm/h]"; formatAxis <- "%m/%Y"; } if(inherits(OutputsModel, "daily" ) & TimeStep %in% ( 24*60*60)){ BOOL_TS <- TRUE; NameTS <- "day" ; plotunit <- "[mm/d]"; formatAxis <- "%m/%Y"; } if(inherits(OutputsModel, "monthly") & TimeStep %in% (c(28, 29, 30, 31)*24*60*60)){ BOOL_TS <- TRUE; NameTS <- "month"; plotunit <- "[mm/month]"; formatAxis <- "%m/%Y"; } if(inherits(OutputsModel, "yearly" ) & TimeStep %in% ( c(365, 366)*24*60*60)){ BOOL_TS <- TRUE; NameTS <- "year" ; plotunit <- "[mm/y]"; formatAxis <- "%Y" ; } if(!BOOL_TS){ stop(paste("the time step of the model inputs could not be found \n", sep = "")); return(NULL); } } if(length(IndPeriod_Plot) == 0){ IndPeriod_Plot <- 1:length(OutputsModel$DatesR); } if(inherits(OutputsModel, "CemaNeige")){ NLayers <- length(OutputsModel$CemaNeigeLayers); } PsolLayerMean <- NULL; if(BOOL_Psol){ for(iLayer in 1:NLayers){ if(iLayer == 1){ PsolLayerMean <- OutputsModel$CemaNeigeLayers[[iLayer]]$Psol/NLayers; } else { PsolLayerMean <- PsolLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$Psol/NLayers; } } } BOOL_QobsZero <- FALSE; if(BOOL_Qobs){ SelectQobsNotZero <- (round(Qobs[IndPeriod_Plot] , 4) != 0); BOOL_QobsZero <- sum(!SelectQobsNotZero, na.rm = TRUE)>0; } BOOL_QsimZero <- FALSE; if(BOOL_Qsim){ SelectQsimNotZero <- (round(OutputsModel$Qsim[IndPeriod_Plot], 4) != 0); BOOL_QsimZero <- sum(!SelectQsimNotZero, na.rm = TRUE)>0; } if(BOOL_QobsZero & verbose){ warning("\t zeroes detected in Qobs -> some plots in the log space will not be created using all time-steps \n"); }7172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140
if(BOOL_QsimZero & verbose){ warning("\t zeroes detected in Qsim -> some plots in the log space will not be created using all time-steps \n"); }
BOOL_FilterZero <- TRUE;
##Plots_choices
BOOLPLOT_Precip <- ( "Precip" %in% which & BOOL_Pobs )
BOOLPLOT_Temp <- ( "Temp" %in% which & BOOL_Snow )
BOOLPLOT_SnowPack <- ( "SnowPack" %in% which & BOOL_Snow )
BOOLPLOT_Flows <- ( "Flows" %in% which & (BOOL_Qsim | BOOL_Qobs) )
BOOLPLOT_Regime <- ( "Regime" %in% which & BOOL_TS & BOOL_Qsim & (NameTS %in% c("hour", "day", "month")) )
BOOLPLOT_CumFreq <- ( "CumFreq" %in% which & (BOOL_Qsim | BOOL_Qobs) & BOOL_FilterZero )
BOOLPLOT_CorQQ <- ( "CorQQ" %in% which & (BOOL_Qsim & BOOL_Qobs) & BOOL_FilterZero )
##Options
BLOC <- TRUE; if(BLOC){
cexaxis <- 1.0; cexlab <- 0.9; cexleg = 1.0; lwdLine = 1.8; lineX = 2.6; lineY = 2.6; bgleg <- NA
matlayout <- NULL; iPlot <- 0;
Sum1 <- sum(c(BOOLPLOT_Precip, BOOLPLOT_SnowPack, BOOLPLOT_Flows))
Sum2 <- sum(c(BOOLPLOT_Regime, BOOLPLOT_CumFreq, BOOLPLOT_CorQQ))
if(BOOLPLOT_Precip){
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+1, iPlot+1)); iPlot <- iPlot+1; }
if(BOOLPLOT_Temp){
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+1, iPlot+1), c(iPlot+1, iPlot+1, iPlot+1)); iPlot <- iPlot+1; }
if(BOOLPLOT_SnowPack){
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+1, iPlot+1), c(iPlot+1, iPlot+1, iPlot+1)); iPlot <- iPlot+1; }
if(BOOLPLOT_Flows){
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+1, iPlot+1), c(iPlot+1, iPlot+1, iPlot+1)); iPlot <- iPlot+1; }
if((Sum1 >= 1 & Sum2 != 0) | (Sum1 == 0 & Sum2 == 3)){
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+2, iPlot+3), c(iPlot+1, iPlot+2, iPlot+3)); iPlot <- iPlot+3; }
if(Sum1 == 0 & Sum2 == 2){
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+2)); iPlot <- iPlot+2; }
if(Sum1 == 0 & Sum2 == 1){
matlayout <- rbind(matlayout, iPlot+1); iPlot <- iPlot+1; }
iPlotMax <- iPlot;
# isRStudio <- Sys.getenv("RSTUDIO") == "1";
# if(!isRStudio){
# if(Sum1 == 1 & Sum2 == 0){ width = 10; height = 05; }
# if(Sum1 == 1 & Sum2 != 0){ width = 10; height = 07; }
# if(Sum1 == 2 & Sum2 == 0){ width = 10; height = 05; }
# if(Sum1 == 2 & Sum2 != 0){ width = 10; height = 07; }
# if(Sum1 == 3 & Sum2 == 0){ width = 10; height = 07; }
# if(Sum1 == 3 & Sum2 != 0){ width = 10; height = 10; }
# if(Sum1 == 0 & Sum2 == 1){ width = 05; height = 05; }
# if(Sum1 == 0 & Sum2 == 2){ width = 10; height = 04; }
# if(Sum1 == 0 & Sum2 == 3){ width = 10; height = 03; }
# dev.new(width = width, height = height)
# }
layout(matlayout);
Xaxis <- 1:length(IndPeriod_Plot);
if(BOOL_Dates){
if(NameTS %in% c("hour", "day", "month")){
Seq1 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon %in% c(0, 3, 6, 9));
Seq2 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon == 0);
Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2];
}
if(NameTS %in% c("year")){
Seq1 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot]);
Seq2 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot]);
Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2];
}
}
if(!is.null(BasinArea)){
Factor_MMH_M3S <- BasinArea/( 60*60/1000);
Factor_MMD_M3S <- BasinArea/( 24*60*60/1000);
Factor_MMM_M3S <- BasinArea/(365.25/12*24*60*60/1000);
Factor_MMY_M3S <- BasinArea/( 365.25*24*60*60/1000);
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if(NameTS == "hour" ){ Factor_UNIT_M3S <- Factor_MMH_M3S; }
if(NameTS == "day" ){ Factor_UNIT_M3S <- Factor_MMD_M3S; }
if(NameTS == "month"){ Factor_UNIT_M3S <- Factor_MMM_M3S; }
if(NameTS == "year" ){ Factor_UNIT_M3S <- Factor_MMY_M3S; }
}
}
kPlot <- 0
## vector of Q values for the y-axis when it is expressed in
seqDATA1 <- log(c(0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000))
seqDATA2 <- exp(seqDATA1)
##Precip
if(BOOLPLOT_Precip){
kPlot <- kPlot+1; mar <- c(3, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
ylim1 <- range(OutputsModel$Precip[IndPeriod_Plot], na.rm = TRUE); ylim2 <- ylim1 * c(1.0, 1.1); ylim2 <- rev(ylim2);
lwdP <- 0.7; if(NameTS %in% c("month", "year")){ lwdP <- 2; }
plot(Xaxis, OutputsModel$Precip[IndPeriod_Plot], type = "h", ylim = ylim2, col = "royalblue", lwd = lwdP, xaxt = "n", yaxt = "n", xlab = "", ylab = "", yaxs = "i", ...);
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cexaxis)
par(las = 0); mtext(side = 2, paste("precip.", plotunit, sep = " "), line = lineY, cex = cexlab, adj = 1); par(las = 0);
if(BOOL_Psol){
legend("bottomright", c("solid","liquid"), col = c("lightblue", "royalblue"), lty = c(1, 1), lwd = c(lwdLine, lwdLine), bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
par(new = TRUE);
plot(Xaxis, PsolLayerMean[IndPeriod_Plot], type = "h", ylim = ylim2, col = "lightblue", lwd = lwdP, xaxt = "n", yaxt = "n", xlab = "", ylab = "", yaxs = "i", ...);
}
if(BOOL_Dates){
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cexaxis);
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cexaxis);
} else { axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cexaxis); }
}
##Temp
if(BOOLPLOT_Temp){
kPlot <- kPlot+1; mar <- c(3, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
ylim1 <- c(+99999, -99999)
for(iLayer in 1:NLayers){
ylim1[1] <- min(ylim1[1], OutputsModel$CemaNeigeLayers[[iLayer]]$Temp);
ylim1[2] <- max(ylim1[2], OutputsModel$CemaNeigeLayers[[iLayer]]$Temp);
if(iLayer == 1){ SnowPackLayerMean <- OutputsModel$CemaNeigeLayers[[iLayer]]$Temp/NLayers;
} else { SnowPackLayerMean <- SnowPackLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$Temp/NLayers; }
}
plot(SnowPackLayerMean[IndPeriod_Plot], type = "n", ylim = ylim1, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
for(iLayer in 1:NLayers){ lines(OutputsModel$CemaNeigeLayers[[iLayer]]$Temp[IndPeriod_Plot], lty = 3, col = "orchid", lwd = lwdLine*0.8); }
abline(h = 0, col = "grey", lty = 2)
lines(SnowPackLayerMean[IndPeriod_Plot], type = "l", lwd = lwdLine*1.0, col = "darkorchid4")
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cexaxis)
par(las = 0); mtext(side = 2, expression(paste("temp. [", degree, "C]", sep = "")), padj = 0.2, line = lineY, cex = cexlab); par(las = 0);
legend("topright", c("mean", "layers"), col = c("darkorchid4", "orchid"), lty = c(1, 3), lwd = c(lwdLine*1.0, lwdLine*0.8), bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
box()
if(BOOL_Dates){
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cexaxis);
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cexaxis);
} else { axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cexaxis); }
}
##SnowPack
if(BOOLPLOT_SnowPack){
kPlot <- kPlot+1; mar <- c(3, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
ylim1 <- c(+99999, -99999)
for(iLayer in 1:NLayers){
ylim1[1] <- min(ylim1[1], OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack);
ylim1[2] <- max(ylim1[2], OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack);
if(iLayer == 1){ SnowPackLayerMean <- OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack/NLayers;
} else { SnowPackLayerMean <- SnowPackLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack/NLayers; }
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}
plot(SnowPackLayerMean[IndPeriod_Plot], type = "l", ylim = ylim1, lwd = lwdLine*1.2, col = "royalblue", xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
for(iLayer in 1:NLayers){ lines(OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack[IndPeriod_Plot], lty = 3, col = "royalblue", lwd = lwdLine*0.8); }
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cexaxis)
par(las = 0); mtext(side = 2, paste("snow pack", "[mm]", sep = " "), line = lineY, cex = cexlab); par(las = 0);
legend("topright", c("mean", "layers"), col = c("royalblue", "royalblue"), lty = c(1, 3), lwd = c(lwdLine*1.2, lwdLine*0.8), bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
box()
if(BOOL_Dates){
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cexaxis);
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cexaxis);
} else { axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cexaxis); }
}
##Flows
if(BOOLPLOT_Flows & log_scale) {
kPlot <- kPlot+1; mar <- c(3, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
DATA2 <- Qobs
DATA2[!SelectQobsNotZero] <- mean(Qobs, na.rm = TRUE) / 10000
DATA2 <- log(DATA2)
DATA3 <- OutputsModel$Qsim
DATA2[!SelectQsimNotZero] <- mean(OutputsModel$Qsim, na.rm = TRUE) / 10000
DATA3 <- log(DATA3)
ylim1 <- range(DATA3[IndPeriod_Plot], na.rm = TRUE);
if(BOOL_Qobs){ ylim1 <- range(c(ylim1, DATA2[IndPeriod_Plot]), na.rm = TRUE); }
ylim2 <- c(ylim1[1], 1.2*ylim1[2]);
plot(Xaxis, rep(NA, length(Xaxis)), type = "n", ylim = ylim2, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...);
txtleg <- NULL; colleg <- NULL;
if(BOOL_Qobs){ lines(Xaxis, DATA2[IndPeriod_Plot], lwd = lwdLine, lty = 1, col = "black"); txtleg <- c(txtleg, "observed"); colleg <- c(colleg, "black"); }
if(BOOL_Qsim){ lines(Xaxis, DATA3[IndPeriod_Plot], lwd = lwdLine, lty = 1, col = "orangered"); txtleg <- c(txtleg, "simulated"); colleg <- c(colleg, "orangered"); }
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex.axis = cexaxis)
par(las = 0); mtext(side = 2, paste("flow", plotunit, sep = " "), line = lineY, cex = cexlab); par(las = 0);
if(!is.null(BasinArea)){
Factor <- Factor_UNIT_M3S;
axis(side = 4, at = pretty(ylim1*Factor)/Factor, labels = pretty(ylim1*Factor), cex.axis = cexaxis);
par(las = 0); mtext(side = 4, paste("flow", "m3/s", sep = " "), line = lineY, cex = cexlab); par(las = 0); }
if(BOOL_Dates){
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cexaxis);
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cexaxis);
} else { axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cexaxis); }
legend("topright", txtleg, col = colleg, lty = 1, lwd = lwdLine, bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
box()
}
if(BOOLPLOT_Flows & !log_scale){
kPlot <- kPlot+1; mar <- c(3, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
ylim1 <- range(OutputsModel$Qsim[IndPeriod_Plot], na.rm = TRUE);
if(BOOL_Qobs){ ylim1 <- range(c(ylim1, Qobs[IndPeriod_Plot]), na.rm = TRUE); }
ylim2 <- c(ylim1[1], 1.2*ylim1[2]);
plot(Xaxis, rep(NA, length(Xaxis)), type = "n", ylim = ylim2, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...);
txtleg <- NULL; colleg <- NULL;
if(BOOL_Qobs){ lines(Xaxis, Qobs[IndPeriod_Plot], lwd = lwdLine, lty = 1, col = "black"); txtleg <- c(txtleg, "observed"); colleg <- c(colleg, "black"); }
if(BOOL_Qsim){ lines(Xaxis, OutputsModel$Qsim[IndPeriod_Plot], lwd = lwdLine, lty = 1, col = "orangered"); txtleg <- c(txtleg, "simulated"); colleg <- c(colleg, "orangered"); }
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cexaxis)
par(las = 0); mtext(side = 2, paste("flow", plotunit, sep = " "), line = lineY, cex = cexlab); par(las = 0);
if(!is.null(BasinArea)){
Factor <- Factor_UNIT_M3S;
axis(side = 4, at = pretty(ylim1*Factor)/Factor, labels = pretty(ylim1*Factor), cex.axis = cexaxis);
par(las = 0); mtext(side = 4, paste("flow", "m3/s", sep = " "), line = lineY, cex = cexlab); par(las = 0); }
if(BOOL_Dates){
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cexaxis);
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cexaxis);
} else { axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cexaxis); }
legend("topright", txtleg, col = colleg, lty = 1, lwd = lwdLine, bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
box()
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}
##Regime
if(BOOLPLOT_Regime){
kPlot <- kPlot+1; mar <- c(6, 5, 1, 5); plotunitregime <- "[mm/month]";
par(new = FALSE, mar = mar, las = 0)
##Data_formating_as_table
DataModel <- as.data.frame(matrix(as.numeric(NA), nrow = length(IndPeriod_Plot), ncol = 5));
DataModel[, 1] <- as.numeric(format(OutputsModel$DatesR[IndPeriod_Plot], format = "%Y%m%d%H"));
if(BOOL_Pobs){ DataModel[, 2] <- OutputsModel$Precip[IndPeriod_Plot]; }
if(BOOL_Psol){ DataModel[, 3] <- PsolLayerMean[IndPeriod_Plot]; }
if(BOOL_Qobs){ DataModel[, 4] <- Qobs[IndPeriod_Plot]; }
if(BOOL_Qsim){ DataModel[, 5] <- OutputsModel$Qsim[IndPeriod_Plot]; }
colnames(DataModel) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim");
TxtDatesDataModel <- formatC(DataModel$Dates, format = "d", width = 8, flag = "0");
##Building_of_daily_time_series_if_needed
if(NameTS == "month"){ DataDaily <- NULL; }
if(NameTS == "day" ){ DataDaily <- DataModel; }
if(NameTS == "hour" ){ DataDaily <- as.data.frame(aggregate(DataModel[, 2:5], by = list(as.numeric(substr(TxtDatesDataModel, 1, 8))), FUN = sum, na.rm = T)); }
if(NameTS %in% c("hour", "day")){
colnames(DataDaily) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim");
TxtDatesDataDaily <- formatC(DataDaily$Dates, format = "d", width = 8, flag = "0"); }
##Building_of_monthly_time_series_if_needed
if(NameTS == "month"){ DataMonthly <- DataModel; }
if(NameTS == "day" ){ DataMonthly <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily, 1, 6))), FUN = sum, na.rm = T)); }
if(NameTS == "hour" ){ DataMonthly <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily, 1, 6))), FUN = sum, na.rm = T)); }
colnames(DataMonthly) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim");
TxtDatesDataMonthly <- formatC(DataMonthly$Dates, format = "d", width = 6, flag = "0");
##Computation_of_interannual_mean_series
if(!is.null(DataDaily)){
DataDailyInterAn <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily , 5, 8))), FUN = mean, na.rm = T));
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim"); }
if(!is.null(DataMonthly)){
DataMonthlyInterAn <- as.data.frame(aggregate(DataMonthly[, 2:5], by = list(as.numeric(substr(TxtDatesDataMonthly, 5, 6))), FUN = mean, na.rm = T));
colnames(DataMonthlyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim"); }
##Smoothing_of_daily_series_and_scale_conversion_to_make_them_become_a_monthly_regime
if(!is.null(DataDaily)){
##Smoothing
NDaysWindow <- 30;
DataDailyInterAn <- as.data.frame(cbind(DataDailyInterAn$Dates,
MyRollMean2(DataDailyInterAn$Precip, NDaysWindow), MyRollMean2(DataDailyInterAn$Psol, NDaysWindow),
MyRollMean2(DataDailyInterAn$Qobs , NDaysWindow), MyRollMean2(DataDailyInterAn$Qsim, NDaysWindow)));
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim");
##Scale_conversion_to_make_them_become_a_monthly_regime
if(plotunitregime != "[mm/month]"){ stop(paste("incorrect unit for regime plot \n", sep = "")); return(NULL); }
DataDailyInterAn <- as.data.frame(cbind(DataDailyInterAn[1], DataDailyInterAn[2:5]*30));
}
##Plot_preparation
DataPlotP <- DataMonthlyInterAn;
if(!is.null(DataDaily)){
DataPlotQ <- DataDailyInterAn;
SeqX1 <- c( 1, 32, 61, 92, 122, 153, 183, 214, 245, 275, 306, 336, 366);
SeqX2 <- c( 15, 46, 75, 106, 136, 167, 197, 228, 259, 289, 320, 350);
labX <- "30-days rolling mean";
} else {
DataPlotQ <- DataMonthlyInterAn;
SeqX1 <- seq(from = 0.5, to = 12.5, by = 1);
SeqX2 <- seq(from = 1 , to = 12 , by = 1);
labX <- "";
}
xLabels1 <- rep("", 13);
xLabels2 <- c("jan", "feb", "mar", "apr", "may", "jun", "jul", "aug", "sep", "oct", "nov", "dec");
ylimQ <- range(c(DataPlotQ$Qobs, DataPlotQ$Qsim), na.rm = TRUE);
if(BOOL_Pobs){ ylimP <- c(max(DataPlotP$Precip, na.rm = TRUE), 0); }
txtleg <- NULL; colleg <- NULL; lwdleg <- NULL; lwdP = 10;
##Plot_forcings
if(BOOL_Pobs){
plot(SeqX2, DataPlotP$Precip, type = "h", xlim = range(SeqX1), ylim = c(3*ylimP[1], ylimP[2]), lwd = lwdP, lend = 1, lty = 1, col = "royalblue", xlab = "", ylab = "", xaxt = "n", yaxt = "n", yaxs = "i", bty = "n", ...)
txtleg <- c(txtleg, "Ptot" ); colleg <- c(colleg, "royalblue"); lwdleg <- c(lwdleg, lwdP/3);
351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420
axis(side = 2, at = pretty(0.8*ylimP, n = 3), labels = pretty(0.8*ylimP, n = 3), cex.axis = cexaxis, col.axis = "royalblue", col.ticks = "royalblue");
par(new = TRUE); }
if(BOOL_Psol){
plot(SeqX2, DataPlotP$Psol, type = "h", xlim = range(SeqX1), ylim = c(3*ylimP[1], ylimP[2]), lwd = lwdP, lend = 1, lty = 1, col = "lightblue", xlab = "", ylab = "", xaxt = "n", yaxt = "n", yaxs = "i", bty = "n", ...);
txtleg <- c(txtleg, "Psol" ); colleg <- c(colleg, "lightblue"); lwdleg <- c(lwdleg, lwdP/3);
par(new = TRUE); }
##Plot_flows
plot(NULL, type = "n", xlim = range(SeqX1), ylim = c(ylimQ[1], 2*ylimQ[2]), xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
if(BOOL_Qobs){ lines(1:nrow(DataPlotQ), DataPlotQ$Qobs, lwd = lwdLine, lty = 1, col = "black" ); txtleg <- c(txtleg, "Qobs" ); colleg <- c(colleg, "black" ); lwdleg <- c(lwdleg, lwdLine); }
if(BOOL_Qsim){ lines(1:nrow(DataPlotQ), DataPlotQ$Qsim, lwd = lwdLine, lty = 1, col = "orangered"); txtleg <- c(txtleg, "Qsim"); colleg <- c(colleg, "orangered"); lwdleg <- c(lwdleg, lwdLine); }
##Axis_and_legend
axis(side = 1, at = SeqX1, tick = TRUE , labels = xLabels1, cex.axis = cexaxis)
axis(side = 1, at = SeqX2, tick = FALSE, labels = xLabels2, cex.axis = cexaxis)
axis(side = 2, at = pretty(ylimQ), labels = pretty(ylimQ), cex.axis = cexaxis)
par(las = 0); mtext(side = 1, labX, line = lineX, cex = cexlab); par(las = 0);
posleg <- "topright"; txtlab <- "flow regime";
if(BOOL_Pobs){ posleg <- "right"; txtlab <- "precip. & flow regime"; }
par(las = 0); mtext(side = 2, paste(txtlab, " ", plotunitregime, sep = ""), line = lineY, cex = cexlab); par(las = 0);
if(!is.null(BasinArea)){
Factor <- Factor_MMM_M3S;
axis(side = 4, at = pretty(ylimQ*Factor)/Factor, labels = pretty(ylimQ*Factor), cex.axis = cexaxis);
par(las = 0); mtext(side = 4, paste("flow ", "m3/s", sep = ""), line = lineY, cex = cexlab); par(las = 0); }
### posleg <- "topright"; if(BOOL_Pobs){ posleg <- "right"; }
### legend(posleg, txtleg, col = colleg, lty = 1, lwd = lwdleg, bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
box()
}
##Cumulative_frequency
if(BOOLPLOT_CumFreq){
kPlot <- kPlot+1; mar <- c(6, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
xlim <- c(0, 1);
if(BOOL_Qobs & !BOOL_Qsim){ SelectNotZero <- SelectQobsNotZero;
ylim <- range(log(Qobs[IndPeriod_Plot][SelectNotZero]), na.rm = TRUE); }
if(BOOL_Qsim & !BOOL_Qobs){ SelectNotZero <- SelectQsimNotZero;
ylim <- range(log(OutputsModel$Qsim[IndPeriod_Plot][SelectNotZero]), na.rm = TRUE); }
if(BOOL_Qobs & BOOL_Qsim){ SelectNotZero <- SelectQobsNotZero & SelectQsimNotZero;
ylim <- range(log(c(Qobs[IndPeriod_Plot][SelectNotZero], OutputsModel$Qsim[IndPeriod_Plot][SelectNotZero])), na.rm = TRUE); }
plot(0, 0, type = "n", xlim = xlim, ylim = ylim, xaxt = "n", yaxt = "n", xlab = "", ylab = "", main = "", ...);
### abline(h = 0, lty = 2, col = grey(0.5));
### abline(h = 1, lty = 2, col = grey(0.5));
axis(side = 1, at = pretty(xlim), labels = pretty(xlim), cex.axis = cexaxis);
par(las = 0); mtext(side = 1, text = "non-exceedance prob. [-]", line = lineY, cex = cexlab); par(las = 0);
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex.axis = cexaxis)
par(las = 0); mtext(side = 2, text = paste("flow ", plotunit, "", sep = ""), line = lineY, cex = cexlab); par(las = 0);
txtleg <- NULL; colleg <- NULL;
if(BOOL_Qobs){
DATA2 <- log(Qobs[IndPeriod_Plot][SelectNotZero]);
SeqQuant <- seq(0, 1, by = 1/(length(DATA2))); Quant <- as.numeric(quantile(DATA2, SeqQuant, na.rm = TRUE));
Fn <- ecdf(DATA2); YY <- DATA2; YY <- YY[order( Fn(DATA2) )]; XX <- Fn(DATA2); XX <- XX[order( Fn(DATA2) )];
lines(XX, YY, lwd = 1, col = "black");
txtleg <- c(txtleg, "observed"); colleg <- c(colleg, "black"); }
if(BOOL_Qsim){
DATA2 <- log(OutputsModel$Qsim[IndPeriod_Plot][SelectNotZero]);
SeqQuant <- seq(0, 1, by = 1/(length(DATA2))); Quant <- as.numeric(quantile(DATA2, SeqQuant, na.rm = TRUE));
Fn <- ecdf(DATA2); YY <- DATA2; YY <- YY[order( Fn(DATA2) )]; XX <- Fn(DATA2); XX <- XX[order( Fn(DATA2) )];
lines(XX, YY, lwd = 1, col = "orangered");
txtleg <- c(txtleg, "simulated"); colleg <- c(colleg, "orangered"); }
if(!is.null(BasinArea)){
Factor <- Factor_UNIT_M3S;
axis(side = 4, at = seqDATA1, labels = round(seqDATA2*Factor), cex.axis = cexaxis)
par(las = 0); mtext(side = 4, paste("flow ", "m3/s", sep = ""), line = lineY, cex = cexlab); par(las = 0); }
legend("topleft", txtleg, col = colleg, lty = 1, lwd = lwdLine, bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
box()
}
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##Correlation_QQ
if(BOOLPLOT_CorQQ){
kPlot <- kPlot+1; mar <- c(6, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
ylim <- log(range(c(Qobs[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero], OutputsModel$Qsim[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero]), na.rm = TRUE));
plot(log(Qobs[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero]), log(OutputsModel$Qsim[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero]), type = "p", pch = 1, cex = 0.9, col = "black", xlim = ylim, ylim = ylim, xaxt = "n", yaxt = "n", xlab = "", ylab = "", ...)
abline(a = 0, b = 1, col = "royalblue");
axis(side = 1, at = seqDATA1, labels = seqDATA2, cex = cexaxis);
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex = cexaxis);
par(las = 0); mtext(side = 1, paste("observed flow ", plotunit, "", sep = ""), line = lineX, cex = cexlab); par(las = 0);
par(las = 0); mtext(side = 2, paste("simulated flow ", plotunit, "", sep = ""), line = lineY, cex = cexlab); par(las = 0);
if(!is.null(BasinArea)){
Factor <- Factor_UNIT_M3S;
axis(side = 4, at = seqDATA1, labels = round(seqDATA2*Factor), cex.axis = cexaxis);
par(las = 0); mtext(side = 4, paste("flow ", "m3/s", sep = ""), line = lineY, cex = cexlab); par(las = 0); }
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bgleg, box.col = bgleg, cex = cexleg)
box()
}
##Empty_plots
while(kPlot < iPlotMax){
kPlot <- kPlot+1;
par(new = FALSE)
plot(0, 0, type = "n", xlab = "", ylab = "", axes = FALSE, ...)
}
##Restoring_layout_options
layout(1);
}