#' @title create_sf_plot
#'
#' @description The function is a wrapper around \code{ggplot2::geom_sf()} that plots simple feature objects.
#' See \href{https://r-spatial.github.io/sf/articles/sf1.html}{Simple Features for R}
#' for more information on simple features.
#'
#' For a good introduction to using ggplot2::geom_sf
#' see \href{https://r-spatial.org/r/2018/10/25/ggplot2-sf.html}{Drawing beautiful maps programmatically with R, sf and ggplot2}.
#'
#' The function accepts objects of class sf for visualizing their points, lines, and polygon geometries. Easy plotting is
#' possible with the function's parameters for scaling, color, size, variable aesthetic mapping, and text labeling. Overlapping
#' of geometries is possible by chaining multiple functions via standard piping.
#'
#' @param sf A simple features object of class "sf".
#' @param gg A base ggplot2 object wherein this ggplot2's geom_sf object is layered on.
#' @param aes_color The variable name from 'sf' for the dependent aesthetic mapping for color.
#' @param aes_fill The variable name from 'sf' for the dependent aesthetic mapping for fill.
#' If the variable is a discrete factor, see ggplot2::scale_fill_manual() for appropriate scaling values.
#' If the variable is continuous, see ggplot2::scale_fill_gradientn().
#' @param aes_size The variable name from 'sf' for the dependent aesthetic mapping for point size.
#' @param aes_text The variable name from 'sf' for the dependent aesthetic mapping for text labeling.
#' @param text_size A numeric value that sets the size of aesthetic mapping of text (i.e. aes_text)
#' @param text_color A string that sets the color of aesthetic mapping of text color (i.e. aes_text)
#' @param text_fontface A string that sets the fontface of aesthetic mapping of text fontface (i.e. aes_text).
#' Acceptable values: "plain", "bold", "italic", "bold.italic". The default is "plain".
#' @param text_check_overlap A logical which if TRUE will not plot text that overlaps.
#' @param text_nudge_x A numeric that sets the value for nudging the text in the x direction.
#' @param text_nudge_y A numeric that sets the value for nudging the text in the y direction.
#' @param title A string that sets the plot title.
#' @param subtitle A string that sets the plot subtitle.
#' @param caption A string that sets the plot caption
#' @param center_titles A logical which if \code{TRUE} centers both the 'title' and 'subtitle'.
#' @param x_title A string that sets the x axis title. If \code{NULL} (the default) then the x axis title does not appear.
#' @param y_title A string that sets the y axis title. If \code{NULL} (the default) then the y axis title does not appear.
#' @param hide_x_tics A logical that controls the appearance of the x axis tics.
#' @param hide_y_tics A logical that controls the appearance of the y axis tics.
#' @param xlim A numeric vector pair of longitudinal values for zooming in/out the mapping
#' @param ylim A numeric vector pair of latitudinal values for zooming in/out the mapping
#' @param grid_line_color A string in hexidecimal or color name that sets the plot major grid line color.
#' The default is NULL and takes on ggplot2's default white.
#' @param grid_line_size A numeric that sets the grid line's width. The default is 1.
#' @param panel_color A string in hexidecimal or color name that sets the plot panel's color.
#' The default is NULL and takes on ggplot2's default gray..
#' @param panel_border_color A string in hexidecimal or color name that sets the plot panel's border color.
#' The default is "black". Set it to \code{NA} to eliminate the border rectangle entirely.
#' @param panel_expand A logical which if TRUE, expands the plot panel and potentially hides the tics.
#' The default is \code{FALSE}.
#' @param sf_color A string that sets the color attribute of the sf.
#' @param sf_fill A string that sets the fill color attribute of the sf.
#' @param sf_stroke A numeric that sets the drawing stroke width attribute for a sf point geometry.
#' @param sf_shape A numeric that sets the non-variable associated shape aesthetic.
#' @param sf_size A numeric value that sets the size attribute for scaling points.
#' @param sf_linewidth A numeric value that sets the line width of POLYGON, LINESTRING geometries.
#' @param sf_alpha A numeric value that sets the alpha level attribute of point and line geometries..
#' @param inherit_aes A logical which if \code{FALSE} the aesthetics are not combined with other overlapping geoms.
#' @param na_rm A logical which if \code{TRUE}, missing observations are removed. If FALSE, the default,
#' missing observations are removed with a warning.
#' @param scale_breaks A string/numeric vector that defines the scale breaks.
#' @param scale_values A string/numeric vector that defines the possible values.
#' @param scale_limits A string/numeric vector that defines the scale limits.
#' @param scale_labels An optional string vector that defines the scale labels. Vector must be the same length
#' as 'scale_breaks'.
#' @param scale_colors Vector of colors to use for n-color gradient.
#' @param scale_na_value A string that sets the color for missing values.
#' @param own_scale A logical which if TRUE, then your own scaling may be appended to the plot without using the above
#' scale_* parameters.
#' @param show_legend A logical that controls the appearance of the legend.
#' @param legend_pos A string that sets the legend position. Acceptable values are
#' "top", "bottom", "left", "right".
#' @param legend_key_width A numeric that sets the legend width in cm.
#' @param legend_key_height A numeric that sets the legend height in cm.
#' @param legend_key_backgrd A string that sets the legend's background color.
#'
#' @return A ggplot class object.
#'
#' @examples
#' library(ggplot2)
#' library(RColorBrewer)
#' library(RplotterPkg)
#'
#' # map country coffee production over country geometries
#' RplotterPkg::create_sf_plot(
#' sf = spData::world,
#' title = "World Coffee Production 2017",
#' subtitle = "Source: spData::coffee_data",
#' panel_color = "white",
#' panel_border_color = "white",
#' ) |>
#' RplotterPkg::create_sf_plot(
#' sf = RplotterPkg::world_coffee,
#' aes_fill = "coffee_production_2017",
#' scale_breaks = seq(0,3000,250),
#' scale_labels = seq(0,3000,250),
#' scale_limits = c(0,3000),
#' scale_colors = RColorBrewer::brewer.pal(n = 9, name = "YlOrRd"),
#' legend_key_width = 0.7,
#' legend_key_height = 1.0
#' )
#'
#' @importFrom ggplot2 ggplot
#' @importFrom ggplot2 geom_sf
#' @importFrom rlang sym
#'
#' @export
create_sf_plot <- function(
sf,
gg = NULL,
aes_color = NULL,
aes_fill = NULL,
aes_size = NULL,
aes_text = NULL,
text_size = 3.0,
text_color = "black",
text_fontface = "plain",
text_check_overlap = FALSE,
text_nudge_x = 0,
text_nudge_y = 0,
title = NULL,
subtitle = NULL,
caption = NULL,
center_titles = FALSE,
x_title = NULL,
y_title = NULL,
hide_x_tics = FALSE,
hide_y_tics = FALSE,
xlim = NULL,
ylim = NULL,
grid_line_color = NULL,
grid_line_size = 1,
panel_color = NULL,
panel_border_color = "black",
panel_expand = FALSE,
sf_color = "black",
sf_fill = "gray",
sf_stroke = 0.1,
sf_shape = 21,
sf_size = 0.1,
sf_linewidth = 0.1,
sf_alpha = 1.0,
inherit_aes = TRUE,
na_rm = FALSE,
scale_breaks = waiver(),
scale_values = NULL,
scale_limits = NULL,
scale_labels = waiver(),
scale_colors = heat.colors(8),
scale_na_value = "gray50",
own_scale = FALSE,
show_legend = TRUE,
legend_pos = "right",
legend_key_width = 0.5,
legend_key_height = 0.7,
legend_key_backgrd = "white"
){
if(!is.null(aes_fill)){
aes_fill <- rlang::sym(aes_fill)
}
if(!is.null(aes_color)){
aes_color <- rlang::sym(aes_color)
}
if(!is.null(aes_size)){
aes_size <- rlang::sym(aes_size)
}
if(!is.null(aes_text)){
aes_text <- rlang::sym(aes_text)
}
aplot <- NULL
adding <- FALSE
if(is.null(gg)){
gg <- ggplot2::ggplot()
}else{
adding <- TRUE
}
a_geom <- ggplot2::geom_sf(
data = sf,
fill = sf_fill,
size = sf_size,
shape = sf_shape,
stroke = sf_stroke,
linewidth = sf_linewidth,
color = sf_color,
alpha = sf_alpha,
inherit.aes = inherit_aes,
na.rm = na_rm
)
aplot <- gg + a_geom
if(!is.null(aes_fill)){
a_geom <- geom_sf(
data = sf,
aes(fill = !!aes_fill),
size = sf_size,
shape = sf_shape,
stroke = sf_stroke,
linewidth = sf_linewidth,
color = sf_color,
alpha = sf_alpha,
inherit.aes = inherit_aes,
na.rm = na_rm
)
if(!own_scale){ # aes_fill scaling
if(is.factor(sf[[aes_fill]])){
aplot <- aplot +
ggplot2::scale_fill_manual(
breaks = scale_breaks,
values = scale_values,
limits = scale_limits,
labels = scale_labels,
na.value = scale_na_value
)
}else{
aplot <- aplot +
ggplot2::scale_fill_gradientn(
breaks = scale_breaks,
limits = scale_limits,
labels = scale_labels,
colors = scale_colors,
values = scale_values,
na.value = scale_na_value
)
}
}
}
if(!is.null(aes_color)){
a_geom <- geom_sf(
data = sf,
aes(color = !!aes_color),
size = sf_size,
shape = sf_shape,
stroke = sf_stroke,
fill = sf_fill,
linewidth = sf_linewidth,
alpha = sf_alpha,
inherit.aes = inherit_aes,
na.rm = na_rm
)
if(!own_scale){ # aes_color scaling
if(is.factor(sf[[aes_color]])){
aplot <- aplot +
ggplot2::scale_color_manual(
breaks = scale_breaks,
values = scale_values,
limits = scale_limits,
labels = scale_labels,
na.value = scale_na_value
)
}else{
aplot <- aplot +
ggplot2::scale_color_gradientn(
breaks = scale_breaks,
limits = scale_limits,
labels = scale_labels,
colors = scale_colors,
values = scale_values,
na.value = scale_na_value
)
}
}
}
if(!is.null(aes_size)){
a_geom <- geom_sf(
data = sf,
aes(size = !!aes_size),
shape = sf_shape,
stroke = sf_stroke,
color = sf_color,
linewidth = sf_linewidth,
fill = sf_fill,
alpha = sf_alpha,
inherit.aes = inherit_aes,
na.rm = na_rm
)
if(!own_scale){ #aes_size scaling
if(is.factor(sf[[aes_size]])){
aplot <- aplot +
ggplot2::scale_size_manual(
breaks = scale_breaks,
values = scale_values,
limits = scale_limits,
labels = scale_labels,
na.value = scale_na_value
)
}else{
aplot <- aplot +
ggplot2::scale_size(
breaks = scale_breaks,
limits = scale_limits,
labels = scale_labels
)
}
}
}
if(!is.null(aes_text)){
a_geom <- ggplot2::geom_sf_text(
data = sf,
aes(label = !!aes_text),
color = text_color,
size = text_size,
fontface = text_fontface,
check_overlap = text_check_overlap,
nudge_x = text_nudge_x,
nudge_y = text_nudge_y,
na.rm = na_rm
)
}
# -------------------legend related parameters---------------------------
if(!show_legend){
aplot <- aplot +
theme(legend.position = "none")
}else {
aplot <- aplot +
theme(
legend.position = legend_pos,
legend.key = element_rect(fill = legend_key_backgrd),
legend.key.width = unit(legend_key_width, "cm"),
legend.key.height = unit(legend_key_height, "cm")
)
}
aplot <- aplot + a_geom
if(adding){
aplot <- aplot + ggplot2::coord_sf(
xlim = xlim,
ylim = ylim,
expand = panel_expand
)
return(aplot)
}else {
aplot <- aplot + ggplot2::coord_sf(
xlim = xlim,
ylim = ylim,
expand = panel_expand
)
# -------------------Additional ggplot2 components------------------------
# ----------------------title and subtitle-----------------
if(center_titles) {
aplot <- aplot +
theme(
plot.title = element_text(hjust = .5, size = 20),
plot.subtitle = element_text(hjust = .5, size = 14)
)
}else {
aplot <- aplot +
theme(
plot.title = element_text(size = 20),
plot.subtitle = element_text(size = 14)
)
}
aplot <- aplot + labs(title = title, subtitle = subtitle, caption = caption)
# --------------------panel and grids---------------------
if(!is.null(panel_color)){
aplot <- aplot + theme(
panel.background = element_rect(fill = panel_color, color = panel_border_color, linewidth = 2)
)
}
if(!is.null(grid_line_color)){
aplot <- aplot + theme(
panel.grid.major = element_line(color = grid_line_color, linewidth = grid_line_size)
)
}
# --------------------x/y axis titles------------------------
if(is.null(x_title)) {
aplot <- aplot +
theme(
axis.title.x = element_blank()
)
}else{
aplot <- aplot +
labs(x = x_title)
}
if(is.null(y_title)) {
aplot <- aplot +
theme(
axis.title.y = element_blank()
)
}else{
aplot <- aplot +
labs(y = y_title)
}
# -----------------------hide x/y axis tics?----------------------
if(hide_x_tics){
aplot <- aplot +
theme(
axis.text.x = element_blank(),
axis.ticks.x = element_blank()
)
}
if(hide_y_tics){
aplot <- aplot +
theme(
axis.text.y = element_blank(),
axis.ticks.y = element_blank()
)
}
return(aplot)
}
}
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