year <- as.numeric(substr(x = getwd(), start = nchar(getwd()) - 6, stop = nchar(getwd()) - 3))
tit <- paste0("Emissões veiculares em ", basename(getwd()), year)
switch (language,
"portuguese" = cat("\nPlotando ruas\n"),
"english" = cat("\nPlotting streets\n"),
"spanish" = cat("\nPlotando calles\n"))
# category ####
dt <- readRDS("post/emi_table.rds")
dt0 <- dt[, round(sum(t), 2),
by = .(pollutant, type_emi)]
dt$veh <- as.character(dt$veh)
uv <- unique(dt$veh)
n_PC <- uv[grep(pattern = "PC", x = uv)]
n_LCV <- uv[grep(pattern = "LCV", x = uv)]
n_TRUCKS <- uv[grep(pattern = "TRUCKS", x = uv)]
n_BUS <- uv[grep(pattern = "BUS", x = uv)]
n_MC <- uv[grep(pattern = "MC", x = uv)]
dt$vehicles <- fifelse(
dt$veh %in% n_PC, "PC",
fifelse(
dt$veh %in% n_LCV, "LCV",
fifelse(
dt$veh %in% n_TRUCKS, "TRUCKS",
fifelse(
dt$veh %in% n_BUS, "BUS",
fifelse(
dt$veh %in% n_MC, "MC", "Fleet")))))
# totais x veicles ####
switch (language,
"portuguese" = cat("\nPlotando categorias por total\n"),
"english" = cat("\nPlotting categories by total\n"),
"spanish" = cat("\nPlotando categorias por total\n"))
dt1 <- dt[pollutant %in% pol,
as.numeric(sum(t)),
by = .(pollutant, veh)]
dt1$veh <- factor(x = dt1$veh,
levels = metadata$vehicles)
for(i in seq_along(pol)){
p <- ggplot(dt1[pollutant == pol[i]],
aes(x = veh, y = V1, fill = V1)) +
geom_bar(stat = "identity", col = "black") +
labs(y = "t/ano",
title = paste0(pol[i], ": ", tit)) +
scale_fill_gradientn(pol[i], colours = cpt()) +
scale_x_discrete(limits = rev(metadata$vehicles)) +
theme_bw() +
coord_flip()
png(filename = paste0("images/TOTAL_", pol[i], ".png"),
width = 2100, height = 1500, units = "px", pointsize = 12,
bg = "white", res = 300)
print(p)
dev.off()
}
# totais x veicles2 ####
switch (language,
"portuguese" = cat("\nPlotando categorias por type_emi\n"),
"english" = cat("\nPlotting categories by type_emi\n"),
"spanish" = cat("\nPlotando categorias por type_emi\n"))
dt1 <- dt[pollutant %in% pol,
as.numeric(sum(t)),
by = .(pollutant, veh, type_emi)]
dt1$veh <- factor(x = dt1$veh,
levels = metadata$vehicles)
dt1$pol_te <- as.character(paste0(dt1$pollutant, "_", dt1$type_emi))
pole <- as.character(unique(dt1$pol_te))
for(i in seq_along(pole)){
p <- ggplot(dt1[pol_te == pole[i]],
aes(x = veh, y = V1, fill = V1)) +
geom_bar(stat = "identity", col = "black") +
labs(y = "t/ano",
title = paste0(pole[i], ": ", tit)) +
scale_fill_gradientn(pole[i], colours = cpt()) +
scale_x_discrete(limits = rev(metadata$vehicles)) +
theme_bw() +
coord_flip()
png(filename = paste0("images/TOTAL_",pole[i], ".png"),
width = 2100, height = 1500, units = "px", pointsize = 12,
bg = "white", res = 300)
print(p)
dev.off()
}
# totais x veh ####
switch (language,
"portuguese" = cat("\nPlotando categorias por total e tipo\n"),
"english" = cat("\nPlotting categories by total and type\n"),
"spanish" = cat("\nPlotando categorias por total y tipo\n"))
dt1 <- dt[pollutant %in% pol,
as.numeric(sum(t)),
by = .(pollutant, veh, type_emi)]
for(i in seq_along(pol)){
p <- ggplot(dt1[pollutant == pol[i]],
aes(x = veh, y = V1, fill = type_emi)) +
geom_bar(stat = "identity", col = "black") +
labs(y = "t/ano",
title = paste0(pol[i], ": ", tit)) +
scale_x_discrete(limits = rev(metadata$vehicles)) +
coord_flip()+
theme_bw()
png(filename = paste0("images/TOTAL_TYPE_", pol[i], ".png"),
width = 2100, height = 1500, units = "px", pointsize = 12,
bg = "white", res = 300)
print(p)
dev.off()
}
# totais x mes ####
switch (language,
"portuguese" = cat("\nPlotando categorias por mes\n"),
"english" = cat("\nPlotting categories by month\n"),
"spanish" = cat("\nPlotando categorias por mes\n"))
dt1 <- dt[pollutant %in% pol,
as.numeric(sum(t)),
by = .(pollutant, vehicles, month)]
for(i in seq_along(pol)){
p <- ggplot(dt1[pollutant == pol[i]],
aes(x = month, y = V1, fill = vehicles)) +
geom_bar(stat = "identity", col = "black") +
labs(y = "t/ano",
title = paste0(pol[i], ": ", tit)) +
theme_bw()
png(filename = paste0("images/MONTH_", pol[i], ".png"),
width = 2100, height = 1500, units = "px", pointsize = 12,
bg = "white", res = 300)
print(p)
dev.off()
}
# totais x age ####
dt1 <- dt[pollutant %in% pol,
as.numeric(sum(t)),
by = .(pollutant, vehicles, age)]
for(i in seq_along(pol)){
p <- ggplot(dt1[pollutant == pol[i]],
aes(x = age, y = V1, fill = vehicles)) +
geom_bar(stat = "identity", col = "black") +
labs(y = "t/ano",
title = ifelse(pol[i] == "PM",
paste0(pol[i], ": ", tit, " sem ressuspenssao "),
paste0(pol[i], ": ",tit))) +
theme_bw()
png(filename = paste0("images/AGE_", pol[i], ".png"),
width = 2100, height = 1500, units = "px", pointsize = 12,
bg = "white", res = 300)
print(p)
dev.off()
}
# totais x age ####
dt1 <- dt[pollutant %in% pol,
as.numeric(sum(t)),
by = .(pollutant, vehicles, month)]
for(i in seq_along(pol)){
p <- ggplot(dt1[pollutant == pol[i]],
aes(x = month, y = V1, fill = vehicles)) +
geom_bar(stat = "identity", col = "black") +
labs(y = "t", title = paste(pol[i], tit)) +
theme_bw()
png(filename = paste0("images/MONTH_", pol[i], ".png"),
width = 2100, height = 1500, units = "px", pointsize = 12,
bg = "white", res = 300)
print(p)
dev.off()
}
#
# # grid ####
# switch (language,
# "portuguese" = cat("\nPlotando grade\n"),
# "english" = cat("\nPlotting grid\n"),
# "spanish" = cat("\nPlotando grilla\n"))
#
# dt <- readRDS("post/emi_grid.rds")
# names(dt)
#
# png(filename = paste0("images/GRID_", names(dt)[2], ".png"),
# width = 2100, height = 1500, units = "px", pointsize = 12,
# bg = "white", res = 300)
# plot(dt[names(dt)[2]], lty = 0, pal = cpt(colorRampPalette = T, rev = T), breaks = "sd",
# main = paste0(names(dt)[2], ))
# dev.off()
switch (language,
"portuguese" = message("\nFiguras em /images\n"),
"english" = message("\nFigures in /image\n"),
"spanish" = message("\nFiguras en /images\n"))
switch (language,
"portuguese" = message("Limpando..."),
"english" = message("Cleaning..."),
"spanish" = message("Limpiando..."))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.