#' Timeline of earthquakes
#'
#' @description A geom that plots a timeline of earthquakes in one line
#' optionally grouped by country, colored by number of casualties and size by
#' scale.
#'
#' @inheritParams ggplot2::geom_point
#'
#' @details The function plots a timeline of earthquakes based on cleaned NOAA
#' data. It requires \code{x} aesthetics. An optional \code{y} aesthetics can
#' be used to group data by a selected variable (for example country).
#'
#' @export
#'
#' @importFrom ggplot2 layer
#'
#' @examples
#' \dontrun{
#' data %>% eq_clean_data() %>%
#' filter(COUNTRY %in% c("USA", "MEXICO"), YEAR > 2000) %>%
#' ggplot(aes(x = DATE,
#' y = COUNTRY,
#' color = as.numeric(TOTAL_DEATHS),
#' size = as.numeric(EQ_PRIMARY)
#' )) +
#' geom_timeline() +
#' theme_timeline() +
#' labs(size = "Richter scale value", color = "# deaths")
#' }
geom_timeline <- function(mapping = NULL, data = NULL, stat = "identity",
position = "identity", na.rm = F,
show.legend = NA, inherit.aes = T, ...) {
ggplot2::layer(
geom = GeomTimeline, mapping = mapping,
data = data, stat = stat, position = position,
show.legend = show.legend, inherit.aes = inherit.aes,
params = list(na.rm = na.rm, ...)
)
}
#' @importFrom ggplot2 aes draw_key_point
#' @importFrom grid pointsGrob linesGrob gList gpar
GeomTimeline <-
ggplot2::ggproto(
"GeomTimeline", ggplot2::Geom,
required_aes = c("x"),
default_aes = ggplot2::aes(colour = "grey", size = 1.5, alpha = 0.5,
shape = 21, fill = "grey", stroke = 0.5),
draw_key = ggplot2::draw_key_point,
draw_panel = function(data, panel_scales, coord) {
if (!("y" %in% colnames(data))) {
data$y <- 0.15
}
coords <- coord$transform(data, panel_scales)
points <- grid::pointsGrob(
coords$x, coords$y,
pch = coords$shape, size = unit(coords$size / 4, "char"),
gp = grid::gpar(
col = scales::alpha(coords$colour, coords$alpha),
fill = scales::alpha(coords$colour, coords$alpha)
)
)
y_lines <- unique(coords$y)
lines <- grid::polylineGrob(
x = unit(rep(c(0, 1), each = length(y_lines)), "npc"),
y = unit(c(y_lines, y_lines), "npc"),
id = rep(seq_along(y_lines), 2),
gp = grid::gpar(col = "grey",
lwd = .pt)
)
grid::gList(points, lines)
}
)
#' Timeline labels of earthquakes
#'
#' @description This geom plots timeline labels of earthquakes. It assumes that
#' \code{geom_timeline} was used to create the timelines
#'
#' @inheritParams ggplot2::geom_text
#' @param n_max An integer. If used, it only plots the labels for the
#' \code{n_max} largest earthquakes in the selected group in the timeline
#'
#' @details Plots timeline labels of earthquakes based on cleaned NOAA data. It
#' should be used with combination with \code{geom_timeline}. The required
#' aesthetics for this geom is \code{label} that should contain string for
#' labeling each data point.
#'
#' @export
#'
#' @importFrom ggplot2 layer
#'
#' @examples
#' \dontrun{
#' data %>% eq_clean_data() %>%
#' filter(COUNTRY %in% c("USA", "CHINA"), YEAR > 2000) %>%
#' ggplot(aes(x = DATE,
#' y = COUNTRY,
#' color = as.numeric(TOTAL_DEATHS),
#' size = as.numeric(EQ_PRIMARY)
#' )) +
#' geom_timeline() +
#' geom_timeline_label(aes(label = LOCATION_NAME), n_max = 5) +
#' theme_timeline() +
#' labs(size = "Richter scale value", color = "# deaths")
#' }
geom_timeline_label <- function(mapping = NULL, data = NULL, stat = "identity",
position = "identity", ..., na.rm = F,
n_max = NULL, show.legend = NA,
inherit.aes = T) {
ggplot2::layer(
geom = GeomTimelineLabel, mapping = mapping,
data = data, stat = stat, position = position,
show.legend = show.legend, inherit.aes = inherit.aes,
params = list(na.rm = na.rm, n_max = n_max, ...)
)
}
#' @importFrom ggplot2 draw_key_blank
#' @importFrom dplyr %>% group_by top_n ungroup
#' @importFrom grid gpar linesGrob textGrob gList
GeomTimelineLabel <-
ggplot2::ggproto(
"GeomTimelineLabel", ggplot2::Geom,
required_aes = c("x", "label"),
draw_key = ggplot2::draw_key_blank,
setup_data = function(data, params) {
if (!is.null(params$n_max)) {
if (!("size" %in% colnames(data))) {
stop(paste("'size' aesthetics needs to be",
"provided when 'n_max' is defined."))
}
data <- data %>%
dplyr::group_by_("group") %>%
dplyr::top_n(params$n_max, size) %>%
dplyr::ungroup()
}
data
},
draw_panel = function(data, panel_scales, coord, n_max) {
if (!("y" %in% colnames(data))) {
data$y <- 0.15
}
coords <- coord$transform(data, panel_scales)
n_grp <- length(unique(data$group))
offset <- 0.2 / n_grp
lines <- grid::polylineGrob(
x = unit(c(coords$x, coords$x), "npc"),
y = unit(c(coords$y, coords$y + offset), "npc"),
id = rep(1:dim(coords)[1], 2),
gp = grid::gpar(
col = "grey"
)
)
names <- grid::textGrob(
label = coords$label,
x = unit(coords$x, "npc"),
y = unit(coords$y + offset, "npc"),
just = c("left", "bottom"),
rot = 45
)
grid::gList(lines, names)
}
)
#' A theme for styling \code{geom_timeline} plots
#'
#' @description A theme for styling \code{\link{geom_timeline}} plots.
#'
#' @examples
#' \dontrun{
#' data %>% eq_clean_data() %>%
#' filter(COUNTRY %in% c("USA", "CHINA"), YEAR > 2000) %>%
#' ggplot(aes(x = DATE,
#' y = COUNTRY,
#' color = as.numeric(TOTAL_DEATHS),
#' size = as.numeric(EQ_PRIMARY)
#' )) +
#' geom_timeline() +
#' theme_timeline()
#' }
#'
#' @importFrom ggplot2 theme element_blank element_line
#'
#' @export
#'
theme_timeline <- function() {
ggplot2::theme(
plot.background = ggplot2::element_blank(),
panel.background = ggplot2::element_blank(),
legend.key = ggplot2::element_blank(),
axis.title.y = ggplot2::element_blank(),
axis.line.x = ggplot2::element_line(size = 1),
axis.ticks.y = ggplot2::element_blank(),
legend.position = "bottom"
)
}
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