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0c2597d97f
feat: implement data clustering using PHT feat: implement interpolation refactor: use named vector for DHT species definition and significant digits data: remove unusable input scripts data: move Phreeqc database to benchmark dir refactor: rename dolomite benchmark directory refactor: remove DHT prop type from input script
52 lines
1.7 KiB
R
52 lines
1.7 KiB
R
## Time-stamp: "Last modified 2022-12-16 20:26:03 delucia"
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source("../../../util/data_evaluation/RFun_Eval.R")
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sd <- ReadRTSims("naaice_2d")
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sd <- ReadRTSims("Sim2D")
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sd <- ReadRTSims("inner")
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tim <- readRDS("inner/timings.rds")
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simtimes <- sapply(sd, "[","simtime")
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## workhorse function to be used with package "animation"
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PlotAn <- function(tot, prop, grid, breaks) {
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for (step in seq(1, length(tot))) {
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snap <- tot[[step]]$C
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time <- tot[[step]]$simtime/3600/24
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ind <- match(prop, colnames(snap))
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Plot2DCellData(snap[,ind], grid=grid, contour=FALSE, breaks=breaks, nlevels=length(breaks), scale=TRUE, main=paste0(prop," after ", time, "days"))
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}
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}
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options(width=110)
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library(viridis)
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Plot2DCellData(sd$iter_050$C$Cl, nx=1/100, ny=1/100, contour = TRUE,
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nlevels = 12, palette = "heat.colors",
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rev.palette = TRUE, scale = TRUE, main="Cl")
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Plot2DCellData(sd$iter_050$C$Dolomite, nx=100, ny=100, contour = FALSE,
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nlevels = 12, palette = "heat.colors",
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rev.palette = TRUE, scale = TRUE, )
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cairo_pdf("naaice_inner_Dolo.pdf", width=8, height = 6, family="serif")
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Plot2DCellData(sd$iter_100$C$Dolomite, nx=100, ny=100, contour = FALSE,
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nlevels = 12, palette = "viridis",
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rev.palette = TRUE, scale = TRUE, plot.axes = FALSE,
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main="2D Diffusion - Dolomite after 2E+4 s (100 iterations)")
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dev.off()
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cairo_pdf("naaice_inner_Mg.pdf", width=8, height = 6, family="serif")
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Plot2DCellData(sd$iter_100$C$Mg, nx=100, ny=100, contour = FALSE,
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nlevels = 12, palette = "terrain.colors",
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rev.palette = TRUE, scale = TRUE, plot.axes=FALSE,
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main="2D Diffusion - Mg after 2E+4 s (100 iterations)")
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dev.off()
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