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biscale_maps.R
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biscale_maps.R
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#MAp Biscale plots -----------
# A. gg_barplot -----------------------------------------------------------
gg_barplot <- function(x,nrow = 1){
g0 <- x %>%
ggplot(
aes(
x = bi_class,
y = total,
fill = bi_class
)
) +
geom_bar(stat = 'identity') +
theme_minimal() +
theme(legend.position = "none") +
labs(x = "", y = "")
if(nrow == 1){
g1 <- g0 +
scale_fill_manual(values = c("#AE384C","#BA7A8F","#CADECF")) +
theme(
plot.margin=margin(t=-0.5,unit="cm"),
axis.text = element_text(size = 4)
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank(),
plot.margin = unit(c(0,1.5,-0.5,1.5),"lines")
)
}
else if(nrow == 2){
g1 <- g0 +
scale_fill_manual(values = c("#75304A","#7F688A","#87A1C7")) +
theme(
plot.margin=margin(t=-0.5,unit="cm"),
axis.text = element_text(size = 4)
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank(),
plot.margin = unit(c(0,1.5,-0.5,1.5),"lines")
)
} else {
g1 <- g0 +
scale_fill_manual(values = c("#3D2847","#425785","#4785BF")) +
theme(
plot.margin=margin(t=-0.5,unit="cm"),
axis.text = element_text(size = 4)
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank(),
plot.margin = unit(c(0,1.5,-0.5,1.5),"lines")
)
}
return(g1)
}
# B. Biscale color palette - customized -----------------------------------
bi_pal2 <- function (pal, dim = 3, preview = TRUE)
{
if (missing(pal) == TRUE) {
stop("A palette must be specified for the 'pal' argument. Please choose one of: 'Brown', 'DkBlue', 'DkCyan', 'DkViolet', and 'GrPink'.")
}
if (pal %in% c("Brown", "DkBlue", "DkCyan", "DkViolet", "GrPink") ==
FALSE) {
stop("The given palette is not one of the allowed options for bivariate mapping. Please choose one of: 'Brown', 'DkBlue', 'DkCyan', 'DkViolet', and 'GrPink'.")
}
if (is.numeric(dim) == FALSE) {
stop("The 'dim' argument only accepts the numeric values '2' or '3'.")
}
if (dim != 2 & dim != 3) {
stop("The 'dim' argument only accepts the numeric values '2' or '3'.")
}
if (is.logical(preview) == FALSE) {
stop("A logical scalar must be supplied for 'preview'. Please provide either 'TRUE' or 'FALSE'.")
}
if (preview == TRUE) {
out <- bi_legend(pal = pal, dim = dim, size = 16)
}
else if (preview == FALSE) {
if (pal == "DkViolet") {
out <- pal_dkviolet2(n = dim)
}
else if (pal == "GrPink") {
out <- pal_grpink(n = dim)
}
else if (pal == "DkBlue") {
out <- pal_dkblue(n = dim)
}
else if (pal == "DkCyan") {
out <- pal_dkcyan(n = dim)
}
else if (pal == "Brown") {
out <- pal_brown(n = dim)
}
}
return(out)
}
pal_dkviolet <- function(n){
# construct palette
if (n == 2){
out <- c(
"2-2" = "#3F2949", # high x, high y
"1-2" = "#4885C1", # low x, high y
"2-1" = "#AE3A4E", # high x, low y
"1-1" = "#CABED0" # low x, low y
)
} else if (n == 3){
out <- c(
"3-3" = "#CADECF", # high x, high y
"2-3" = "#BA7A8F",
"1-3" = "#AE384C", # low x, high y
"3-2" = "#87A1C7",
"2-2" = "#7F688A", # medium x, medium y
"1-2" = "#75304A",
"3-1" = "#4785BF", # high x, low y
"2-1" = "#425785",
"1-1" = "#3D2847" # low x, low y
)
}
return(out)
}
# gray pink palette
pal_grpink <- function(n){
# construct palette
if (n == 2){
out <- c(
"2-2" = "#574249", # high x, high y
"1-2" = "#64ACBE", # low x, high y
"2-1" = "#C85A5A", # high x, low y
"1-1" = "#E8E8E8" # low x, low y
)
} else if (n == 3){
out <- c(
"3-3" = "#574249", # high x, high y
"2-3" = "#627F8C",
"1-3" = "#64ACBE", # low x, high y
"3-2" = "#985356",
"2-2" = "#AD9EA5", # medium x, medium y
"1-2" = "#B0D5DF",
"3-1" = "#C85A5A", # high x, low y
"2-1" = "#E4ACAC",
"1-1" = "#E8E8E8" # low x, low y
)
}
# return output
return(out)
}
bi_legend <- function(pal, dim = 3, xlab, ylab, size = 10, flip_axes = FALSE, rotate_pal = FALSE, pad_width = NA, pad_color = '#ffffff'){
# global binding
bi_class = bi_fill = x = y = NULL
# check parameters
if (missing(pal) == TRUE){
stop("A palette must be specified for the 'pal' argument.")
}
if ("bi_pal_custom" %in% class(pal) == TRUE) {
if (dim == 2 & length(pal) != 4){
stop("There is a mismatch between the length of your custom palette object and the given dimensions.")
} else if (dim == 3 & length(pal) != 9){
stop("There is a mismatch between the length of your custom palette object and the given dimensions.")
}
} else if ("bi_pal_custom" %in% class(pal) == FALSE){
if (pal %in% c("BlGold", "BlOrange", "BlYellow", "Brown", "Diverging", "DkBlue", "DkCyan", "DkViolet", "Fire", "GnPink", "GnPurple", "GrPink", "OrgPurple", "Reds", "Viridis") == FALSE){
stop("The given palette is not one of the allowed options for bivariate mapping. Please choose one of: 'BlGold', 'BlOrange', 'BlYellow', 'Brown', 'Diverging', 'DkBlue', 'DkCyan', 'DkViolet', 'Fire', 'GnPink', 'GnPurple', 'GrPink', 'OrgPurple', 'Reds' or 'Viridis'.")
}
}
if (is.numeric(dim) == FALSE){
stop("The 'dim' argument only accepts the numeric values '2' or '3'.")
}
if (dim != 2 & dim != 3){
stop("The 'dim' argument only accepts the numeric values '2' or '3'.")
}
if (missing(xlab) == TRUE){
xlab <- "x var "
}
if (is.character(xlab) == FALSE){
stop("The 'xlab' argument must be a character string.")
}
if (missing(ylab) == TRUE){
ylab <- "y var "
}
if (is.character(ylab) == FALSE){
stop("The 'ylab' argument must be a character string.")
}
if (is.numeric(size) == FALSE){
stop("The 'size' argument must be a numeric value.")
}
# nse
xQN <- rlang::quo_name(rlang::enquo(xlab))
yQN <- rlang::quo_name(rlang::enquo(ylab))
# obtain palette
if ("bi_pal_custom" %in% class(pal) == TRUE) {
x <- pal
} else if ("bi_pal_custom" %in% class(pal) == FALSE){
x <- switch(pal,
"DkViolet" = pal_dkviolet(n = dim),
"GrPink" = pal_grpink(n = dim),
"DkBlue" = pal_dkblue(n = dim),
"DkCyan" = pal_dkcyan(n = dim),
"Brown" = pal_brown(n = dim),
"BlGold" = pal_blgold(n = dim),
"BlOrange" = pal_blorange(n = dim),
"BlYellow" = pal_blyellow(n = dim),
"Viridis" = pal_viridis(n = dim),
"Diverging" = pal_diverging(n = dim),
"GnPink" = pal_gnpink(n = dim),
"GnPurple" = pal_gnpurp(n = dim),
"OrgPurple" = pal_orgpurp(n = dim),
"Fire" = pal_fire(n = dim),
"Reds" = pal_reds(n = dim)
)
if(flip_axes){
x <- bi_pal_flip(x)
}
if(rotate_pal){
x <- bi_pal_rotate(x)
}
}
# create tibble for plotting
x <- dplyr::tibble(
bi_class = names(x),
bi_fill = x
)
# reformat
leg <- tidyr::separate(x, bi_class, into = c("x", "y"), sep = "-")
leg <- dplyr::mutate(leg, x = as.integer(x), y = as.integer(y))
# create ggplot2 legend object
legend <- ggplot2::ggplot() +
ggplot2::geom_tile(data = leg, mapping = ggplot2::aes(x = x, y = y, fill = bi_fill), lwd = pad_width, col = pad_color) +
ggplot2::scale_fill_identity() +
ggplot2::labs(x = substitute(paste(xQN, ""%->%"")), y = substitute(paste(yQN, ""%->%""))) +
bi_theme() +
ggplot2::theme(axis.title = ggplot2::element_text(size = size)) +
ggplot2::coord_fixed()
# return output
return(legend)
}
bi_theme <- function(base_family = "sans", base_size = 24, bg_color = "#ffffff", font_color = "#000000", ...) {
ggplot2::theme_minimal(base_family = base_family, base_size = base_size) +
ggplot2::theme(
# text defaults
text = ggplot2::element_text(color = font_color),
# remove all axes
axis.line = ggplot2::element_blank(),
axis.text.x = ggplot2::element_blank(),
axis.text.y = ggplot2::element_blank(),
axis.ticks = ggplot2::element_blank(),
# add a grid that blends into plot background
panel.grid.major = ggplot2::element_line(color = bg_color, size = 0.2),
panel.grid.minor = ggplot2::element_blank(),
# background colors
plot.background = ggplot2::element_rect(fill = bg_color, color = NA),
panel.background = ggplot2::element_rect(fill = bg_color, color = NA),
legend.background = ggplot2::element_rect(fill = bg_color, color = NA),
# borders and margins
plot.margin = ggplot2::unit(c(.5, .5, .2, .5), "cm"),
panel.border = ggplot2::element_blank(),
panel.spacing = ggplot2::unit(c(-.1, 0.2, .2, 0.2), "cm"),
# titles
plot.title = ggplot2::element_text(size = ggplot2::rel(1.25), hjust = 0.5, color = font_color, face = "bold"),
plot.subtitle = ggplot2::element_text(hjust = 0.5, color = font_color,
margin = ggplot2::margin(b = -0.1, t = -0.1, l = 2, unit = "cm"),
face = "bold", debug = FALSE),
legend.title = ggplot2::element_text(color = font_color),
legend.text = ggplot2::element_text(hjust = 0, color = font_color),
# captions
plot.caption = ggplot2::element_text(size = ggplot2::rel(.6), hjust = .5,
margin = ggplot2::margin(t = 0.2, b = 0, unit = "cm"),
color = font_color),
...
)
}
bi_scale_fill2 <- function(pal, dim = 3, flip_axes = FALSE, rotate_pal = FALSE, ...){
# check parameters
if (missing(pal) == TRUE){
stop("A palette must be specified for the 'pal' argument. Please choose one of: 'BlGold', 'BlOrange', 'BlYellow', 'Brown', 'Diverging', 'DkBlue', 'DkCyan', 'DkViolet', 'Fire', 'GnPink', 'GnPurple', 'GrPink', 'OrgPurple', 'Reds' or 'Viridis' or supply a custom palette created with 'bi_pal_custom()'.")
}
if ("bi_pal_custom" %in% class(pal) == TRUE) {
if (dim == 2 & length(pal) != 4){
stop("There is a mismatch between the length of your custom palette object and the given dimensions.")
} else if (dim == 3 & length(pal) != 9){
stop("There is a mismatch between the length of your custom palette object and the given dimensions.")
}
} else if ("bi_pal_custom" %in% class(pal) == FALSE){
if (pal %in% c("BlGold", "BlOrange", "BlYellow", "Brown", "Diverging", "DkBlue", "DkCyan", "DkViolet", "Fire", "GnPink", "GnPurple", "GrPink", "OrgPurple", "Reds", "Viridis") == FALSE){
stop("The given palette is not one of the allowed options for bivariate mapping. Please choose one of: 'BlGold', 'BlOrange', 'BlYellow', 'Brown', 'Diverging', 'DkBlue', 'DkCyan', 'DkViolet', 'Fire', 'GnPink', 'GnPurple', 'GrPink', 'OrgPurple', 'Reds' or 'Viridis'.")
}
}
if (is.numeric(dim) == FALSE){
stop("The 'dim' argument only accepts the numeric values '2' or '3'.")
}
if (dim != 2 & dim != 3){
stop("The 'dim' argument only accepts the numeric values '2' or '3'.")
}
# obtain palette
if ("bi_pal_custom" %in% class(pal) == TRUE) {
x <- pal
} else if ("bi_pal_custom" %in% class(pal) == FALSE){
x <- switch(pal,
"DkViolet" = pal_dkviolet(n = dim),
"GrPink" = pal_grpink(n = dim),
"DkBlue" = pal_dkblue(n = dim),
"DkCyan" = pal_dkcyan(n = dim),
"Brown" = pal_brown(n = dim),
"BlGold" = pal_blgold(n = dim),
"BlOrange" = pal_blorange(n = dim),
"BlYellow" = pal_blyellow(n = dim),
"Viridis" = pal_viridis(n = dim),
"Diverging" = pal_diverging(n = dim),
"GnPink" = pal_gnpink(n = dim),
"GnPurple" = pal_gnpurp(n = dim),
"OrgPurple" = pal_orgpurp(n = dim),
"Fire" = pal_fire(n = dim),
"Reds" = pal_reds(n = dim)
)
if(flip_axes){
x <- bi_pal_flip(x)
}
if(rotate_pal){
x <- bi_pal_rotate(x)
}
}
# apply to ggplot object
ggplot2::scale_fill_manual(values = x, ...)
}
# C. Maps biscale ---------------------------------------------------------
gg_bimap <- function(data, xlim, ylim){
g0 <- data %>%
ggplot() +
geom_sf(
data = dep,
lwd = 0.5,
fill = "#d9d9d9",
show.legend = FALSE,
color = "white"
) +
geom_sf(
data = data,
lwd = 0.0,
aes(fill = bi_class),
show.legend = FALSE
) +
theme(
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank(),
panel.grid = element_blank()
) +
bi_scale_fill2(pal = "DkViolet", dim = 3) +
coord_sf(
xlim = xlim,
ylim = ylim,
expand = FALSE
) +
theme_bw() +
theme(
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank(),
panel.grid = element_blank()
) +
facet_grid(.~title) +
theme(
strip.background = element_rect(
colour = "black",
fill = "white")
)
}
#==========================================================================
# 3. Bogota attending -----------------------------------------------
library(janitor)
data1 %>%
tabyl(bi_class)
data1 <- bi_class(
bogota,
x = CNSST1517L3,
y = APSPM25MEAN2018L3,
style = "quantile",
dim = 3
) %>%
drop_na(CNSST1517L3)
newdata <- data1 %>%
st_set_geometry(NULL) %>%
group_by(bi_class) %>%
summarise(total = n())
## Bar plot by categories:
##> categories: 1-3 | 2-3 | 3-3
cat1 <- newdata %>%
filter(bi_class %in% sprintf("%s-3",1:3))
b1 <- gg_barplot(x = cat1,nrow = 1)
##> categories: 1-2 | 2-2 | 3-2
cat2 <- newdata %>%
filter(bi_class %in% sprintf("%s-2",1:3))
b2 <- gg_barplot(x = cat2,nrow = 2)
##> categories: 1-1 | 2-1 | 3-1
cat3 <- newdata %>%
filter(bi_class %in% sprintf("%s-1",1:3))
b3 <- gg_barplot(x = cat3,nrow = 3)
##> Customization of bar plot
plot <- plot_grid(b1, b2, b3, ncol = 1)
barras <- plot +
draw_plot_label(
label = "N° of census tracks",
vjust = 0.1,
x = 0.08,
y = -0.25,
angle = 90,
size = 7
) +
draw_plot_label(
label = "% of attending school (15-17 yo) →",
x = 0.34,
y = 0.06,
size = 7
) +
draw_plot_label(
label = "PM2.5 →",
x = 0.90,
y = -0.1,
angle = 90,
size = 7
)
# Biscale map ---------------------------------------------------------
##> Customization of color palette
paleta <- bi_pal2(
pal = "DkViolet",
dim = 3
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank()
) +
labs(
x = "% of attending school (15-17 yo) → ",
y = "PM2.5 →"
)
##> Cooking maps
basemap <- ggplot() +
geom_sf(
data = bogota,
lwd = 0.5,
fill = "#d9d9d9",
show.legend = FALSE,
color = "white"
) +
geom_sf(
data = data1,
lwd = 0.0,
aes(fill = bi_class),
show.legend = FALSE
) +
theme(
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank(),
panel.grid = element_blank()
) +
bi_scale_fill2(pal = "DkViolet", dim = 3)
end1 <- ggdraw() +
# Map - - - - - - - - - - - - - - - - - - - -
draw_plot(
basemap + theme(
legend.justification = "top",
plot.background = element_blank()
), 0.2, 0, 1, 1,scale = 1.0
) +
# bar plot - - - - - - - - - - - - - - - - - -
draw_plot(
barras + theme(
legend.justification = "bottom",
plot.background = element_blank()
),
-0.2, -0.05, 0.9, 0.60,
scale = 0.4
) +
theme_bw()
# 4. Buenos aires attending -----------------------------------------------
data2 <- bi_class(
buenosaires,
x = CNSST1517L3,
y = APSPM25MEAN2010L3,
style = "quantile",
dim = 3
)
newdata <- data2 %>%
st_set_geometry(NULL) %>%
group_by(bi_class) %>%
summarise(total = n())
## Bar plot by categories:
##> categories: 1-3 | 2-3 | 3-3
cat1 <- newdata %>%
filter(bi_class %in% sprintf("%s-3",1:3))
b1 <- gg_barplot(x = cat1,nrow = 1)
##> categories: 1-2 | 2-2 | 3-2
cat2 <- newdata %>%
filter(bi_class %in% sprintf("%s-2",1:3))
b2 <- gg_barplot(x = cat2,nrow = 2)
##> categories: 1-1 | 2-1 | 3-1
cat3 <- newdata %>%
filter(bi_class %in% sprintf("%s-1",1:3))
b3 <- gg_barplot(x = cat3,nrow = 3)
##> Customization of bar plot
plot <- plot_grid(b1, b2, b3, ncol = 1)
barras <- plot +
draw_plot_label(
label = "N° of census tracks",
vjust = 0.1,
x = 0.08,
y = -0.25,
angle = 90,
size = 7
) +
draw_plot_label(
label = "% of attending school (15-17 yo) →",
x = 0.34,
y = 0.06,
size = 7
) +
draw_plot_label(
label = "PM2.5 →",
x = 0.90,
y = -0.1,
angle = 90,
size = 7
)
barras
# Biscale map ---------------------------------------------------------
##> Customization of color palette
paleta <- bi_pal2(
pal = "DkViolet",
dim = 3
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank()
) +
labs(
x = "% of attending school (15-17 yo) → ",
y = "PM2.5 →"
)
##> Cooking maps
basemap <- ggplot() +
geom_sf(
data = buenosaires,
lwd = 0.5,
fill = "#d9d9d9",
show.legend = FALSE,
color = "white"
) +
geom_sf(
data = data2,
lwd = 0.0,
aes(fill = bi_class),
show.legend = FALSE
) +
theme(
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank(),
panel.grid = element_blank()
) +
bi_scale_fill2(pal = "DkViolet", dim = 3)
end2 <- ggdraw() +
# Map - - - - - - - - - - - - - - - - - - - -
draw_plot(
basemap + theme(
legend.justification = "top",
plot.background = element_blank()
), 0.13, 0, 1, 1,scale = 1.0
) +
# bar plot - - - - - - - - - - - - - - - - - -
draw_plot(
barras + theme(
legend.justification = "bottom",
plot.background = element_blank()
),
-0.22, -0.05, 0.9, 0.60,
scale = 0.4
) +
theme_bw()
# 5. Guatemala attending -----------------------------------------------
data3 <- bi_class(
guatemala,
x = CNSST1517L3,
y = APSPM25MEAN2002L3,
style = "quantile",
dim = 3
)
newdata <- data3 %>%
st_set_geometry(NULL) %>%
group_by(bi_class) %>%
summarise(total = n())
## Bar plot by categories:
##> categories: 1-3 | 2-3 | 3-3
cat1 <- newdata %>%
filter(bi_class %in% sprintf("%s-3",1:3))
b1 <- gg_barplot(x = cat1,nrow = 1)
##> categories: 1-2 | 2-2 | 3-2
cat2 <- newdata %>%
filter(bi_class %in% sprintf("%s-2",1:3))
b2 <- gg_barplot(x = cat2,nrow = 2)
##> categories: 1-1 | 2-1 | 3-1
cat3 <- newdata %>%
filter(bi_class %in% sprintf("%s-1",1:3))
b3 <- gg_barplot(x = cat3,nrow = 3)
##> Customization of bar plot
plot <- plot_grid(b1, b2, b3, ncol = 1)
barras <- plot +
draw_plot_label(
label = "N° of census tracks",
vjust = 0.1,
x = 0.08,
y = -0.25,
angle = 90,
size = 7
) +
draw_plot_label(
label = "% of attending school (15-17 yo) →",
x = 0.34,
y = 0.06,
size = 7
) +
draw_plot_label(
label = "PM2.5 →",
x = 0.90,
y = -0.1,
angle = 90,
size = 7
)
barras
# Biscale map ---------------------------------------------------------
##> Customization of color palette
paleta <- bi_pal2(
pal = "DkViolet",
dim = 3
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank()
) +
labs(
x = "% of attending school (15-17 yo) → ",
y = "PM2.5 →"
)
##> Cooking maps
basemap <- ggplot() +
geom_sf(
data = guatemala,
lwd = 0.5,
fill = "#d9d9d9",
show.legend = FALSE,
color = "white"
) +
geom_sf(
data = data3,
lwd = 0.0,
aes(fill = bi_class),
show.legend = FALSE
) +
theme(
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank(),
panel.grid = element_blank()
) +
bi_scale_fill2(pal = "DkViolet", dim = 3)
end3 <- ggdraw() +
# Map - - - - - - - - - - - - - - - - - - - -
draw_plot(
basemap + theme(
legend.justification = "top",
plot.background = element_blank()
), 0.2, 0, 1, 1,scale = 1.0
) +
# bar plot - - - - - - - - - - - - - - - - - -
draw_plot(
barras + theme(
legend.justification = "bottom",
plot.background = element_blank()
),
-0.22, -0.05, 0.9, 0.60,
scale = 0.4
) +
theme_bw()
# 6. Panama attending -----------------------------------------------
data4 <- bi_class(
panama,
x = CNSST1517L3,
y = APSPM25MEAN2010L3,
style = "quantile",
dim = 3
)
newdata <- data4 %>%
st_set_geometry(NULL) %>%
group_by(bi_class) %>%
summarise(total = n())
## Bar plot by categories:
##> categories: 1-3 | 2-3 | 3-3
cat1 <- newdata %>%
filter(bi_class %in% sprintf("%s-3",1:3))
b1 <- gg_barplot(x = cat1,nrow = 1)
##> categories: 1-2 | 2-2 | 3-2
cat2 <- newdata %>%
filter(bi_class %in% sprintf("%s-2",1:3))
b2 <- gg_barplot(x = cat2,nrow = 2)
##> categories: 1-1 | 2-1 | 3-1
cat3 <- newdata %>%
filter(bi_class %in% sprintf("%s-1",1:3))
b3 <- gg_barplot(x = cat3,nrow = 3)
##> Customization of bar plot
plot <- plot_grid(b1, b2, b3, ncol = 1)
barras <- plot +
draw_plot_label(
label = "N° of census tracks",
vjust = 0.1,
x = 0.08,
y = -0.25,
angle = 90,
size = 7
) +
draw_plot_label(
label = "% of attending school (15-17 yo) →",
x = 0.34,
y = 0.06,
size = 7
) +
draw_plot_label(
label = "PM2.5 →",
x = 0.90,
y = -0.1,
angle = 90,
size = 7
)
barras
# Biscale map ---------------------------------------------------------
##> Customization of color palette
paleta <- bi_pal2(
pal = "DkViolet",
dim = 3
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank()
) +
labs(
x = "% of attending school (15-17 yo) → ",
y = "PM2.5 →"
)
##> Cooking maps
basemap <- ggplot() +
geom_sf(
data = panama,
lwd = 0.5,
fill = "#d9d9d9",
show.legend = FALSE,
color = "white"
) +
geom_sf(
data = data4,
lwd = 0.0,
aes(fill = bi_class),
show.legend = FALSE
) +
theme(
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank(),
panel.grid = element_blank()
) +
bi_scale_fill2(pal = "DkViolet", dim = 3)
end4 <- ggdraw() +
# Map - - - - - - - - - - - - - - - - - - - -
draw_plot(
basemap + theme(
legend.justification = "top",
plot.background = element_blank()
), 0.17, 0, 1, 1,scale = 1.0
) +
# bar plot - - - - - - - - - - - - - - - - - -
draw_plot(
barras + theme(
legend.justification = "bottom",
plot.background = element_blank()
),
-0.25, -0.015, 0.9, 0.60,
scale = 0.4
) +
theme_bw()
# 7. San jose attending -----------------------------------------------
data5 <- bi_class(
sanjose,
x = CNSST1517L3,
y = APSPM25MEAN2011L3,
style = "quantile",
dim = 3
)
newdata <- data5 %>%
st_set_geometry(NULL) %>%
group_by(bi_class) %>%
summarise(total = n())
## Bar plot by categories:
##> categories: 1-3 | 2-3 | 3-3
cat1 <- newdata %>%
filter(bi_class %in% sprintf("%s-3",1:3))
b1 <- gg_barplot(x = cat1,nrow = 1)
##> categories: 1-2 | 2-2 | 3-2
cat2 <- newdata %>%
filter(bi_class %in% sprintf("%s-2",1:3))
b2 <- gg_barplot(x = cat2,nrow = 2)
##> categories: 1-1 | 2-1 | 3-1
cat3 <- newdata %>%
filter(bi_class %in% sprintf("%s-1",1:3))
b3 <- gg_barplot(x = cat3,nrow = 3)
##> Customization of bar plot
plot <- plot_grid(b1, b2, b3, ncol = 1)
barras <- plot +
draw_plot_label(
label = "N° of census tracks",
vjust = 0.1,
x = 0.08,
y = -0.25,
angle = 90,
size = 7
) +
draw_plot_label(
label = "% of attending school (15-17 yo) →",
x = 0.34,
y = 0.06,
size = 7
) +
draw_plot_label(
label = "PM2.5 →",
x = 0.90,
y = -0.1,
angle = 90,
size = 7
)
barras
# Biscale map ---------------------------------------------------------
##> Customization of color palette
paleta <- bi_pal2(
pal = "DkViolet",
dim = 3
) +
theme(
panel.background = element_blank(),
axis.text.x = element_blank()
) +
labs(
x = "% of attending school (15-17 yo) → ",
y = "PM2.5 →"
)
##> Cooking maps
basemap <- ggplot() +
geom_sf(
data = sanjose,
lwd = 0.5,
fill = "#d9d9d9",
show.legend = FALSE,
color = "white"
) +
geom_sf(
data = data5,
lwd = 0.0,
aes(fill = bi_class),
show.legend = FALSE
) +
theme(
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank(),
panel.grid = element_blank()
) +
bi_scale_fill2(pal = "DkViolet", dim = 3)