#' @title Geom for for plotting a time line of earthquakes
#' with a point for each earthquake
#'
#' @description This function creates a new geom to plot a timeline
#' for a data range and points for each earthquake
#'
#' @param mapping Set of aesthetics mappings created by aes
#'
#' @param data The data to be displayed in this layer
#'
#' @param position Position adjustment
#'
#' @param stat not working (no stat functionality)
#'
#' @param ... Other arguments to layer
#'
#' @param na.rm If FALSE, the default, missing values are removed with a warning.
#' If TRUE, missing values are silently removed.
#'
#' @param show.legend logical. Should this layer be included in the legends? NA,
#' the default, includes if any aesthetics are mapped. FALSE never includes,
#' and TRUE always includes. It can also be a named logical vector to finely
#' select the aesthetics to display.
#'
#' @param inherit.aes If FALSE, overrides the default aesthetics, rather than
#' combining with them.
#'
#' @examples
#' \dontrun{
#' dataset %>% filter((Year> 2010) & (Country =="INDIA")) %>%
#' ggplot(ggplot2::aes(x = Date,
#' y = Country,
#' color = Deaths,
#' size = Mag)) + geom_timeline(alpha = 0.2)
#' }
#'
#' @export
geom_timeline <- function(mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
show.legend = NA,
na.rm = FALSE,
inherit.aes = TRUE, ...) {
ggplot2::layer(
geom = GeomTimeLine, # use the geom class built in the package
mapping = mapping,
data = data,
stat = stat,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(na.rm = na.rm, ...)
)
}
#' @title Class GeomTimeline
#'
#' @return no return value
#'
#' @description Construct a new class 'GeomTimeline' which is a 'ggproto' object
#' for plotting a time line of earthquakes.
#'
#' @import ggplot2
#'
#' @export
GeomTimeLine <- ggplot2::ggproto("GeomTimeLine",
ggplot2::Geom,
required_aes = c("x"),
non_missing_aes = c("size", "shape", "colour", "y"),
default_aes = ggplot2::aes(y = 0.5,
shape = 19,
colour = "grey",
size = 5,
fill = "grey20",
alpha = 0.2,
stroke = 0.5),
draw_key = ggplot2::draw_key_point,
draw_panel = function(data,
panel_params,
coord) {
coords <- coord$transform(data,
panel_params)
points <- grid::pointsGrob(coords$x,
coords$y,
pch = coords$shape,
gp = grid::gpar(
col = alpha(coords$colour, coords$alpha),
fill = alpha(coords$fill, coords$alpha),
lwd = coords$stroke * .pt,
fontsize = coords$size * .pt)
)
lines <- purrr::map(unique(coords$y), function(x)
grid::linesGrob(y = c(x, x)))
params <- c(list(points), lines)
grid::gTree(children = do.call(grid::gList, params))
}
)
#' @title Label the earthquakes on the timeline
#'
#' @description geom_timeline_label labels the n biggest earthquakes
#' (based on the Richter scale)
#'
#' @param mapping Set of aesthetics mappings created by ggplot2 aes
#'
#' @param data The data to be displayed in this layer
#'
#' @param position Position adjustment, either as a string, or the result of a
#' call to position adjustment function
#'
#'@param stat not working (no stat functionality)
#'
#' @param ... Other arguments to layer
#'
#' @param na.rm If FALSE, the default, missing values are removed with a warning.
#' If TRUE, missing values are silently removed
#'
#' @param show.legend logical. Should this layer be included in the legends? NA,
#' the default, includes if any aesthetics are mapped. FALSE never includes,
#' and TRUE always includes. It can also be a named logical vector to finely
#' select the aesthetics to display
#'
#' @param inherit.aes If FALSE, overrides the default aesthetics, rather than
#' combining with them
#'
#' @importFrom magrittr %>%
#'
#' @examples
#' \dontrun{
#' dataset %>% filter(Country %in% c("MEXICO", "IRAN") &
#' Date %within% lubridate::interval(ymd(20000103), ymd(20180104))) %>%
#' mutate(Country = factor(Country, levels = unique(Country))) %>%
#' ggplot() +
#' geom_timeline(ggplot2::aes(x = Date, y = Country, size = Mag, colour = Deaths)) +
#' geom_timeline_label(aes(x = Date, y = Country, label = Location,
#' magnitude = Mag, colour = Deaths, n_max = 7), alpha = 0.5) +
#' scale_colour_continuous(name = "Nb. of deaths") +
#' theme(legend.position = "bottom") +
#' ylab("")
#' }
#'
#' @export
geom_timeline_label <- function(mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
show.legend = NA,
na.rm = FALSE,
inherit.aes = TRUE, ...) {
ggplot2::layer(
data = data,
mapping = mapping,
stat = stat,
geom = GeomTimeLineLabel,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(na.rm = na.rm, ...)
)
}
#' @title GeomTimelineLabel
#'
#' @description This is the setup required for creating a new geom class.
#' This GeomTimeLineLabel inherits from a top level class called Geom.
#' It creates a geom that draws the timeline for a specified date interval
#' and put points on it for each earthquake. It then creates labels in
#' order to annotate the biggest earthquakes on the timeline.
#'
#' @importFrom magrittr %>%
#'
#' @export
#'
GeomTimeLineLabel <- ggplot2::ggproto("GeomTimeLineLabel",
ggplot2::Geom,
required_aes = c("x", "label", "magnitude"),
non_missing_aes = c("size", "shape", "colour", "y", "n_max"),
default_aes = ggplot2::aes(y = 0.5, shape = 19,
colour = "grey",
size = 3, fill = "grey20", alpha = 0.5,
stroke = 0, n_max = 5),
draw_key = ggplot2::draw_key_point,
draw_panel = function(data, panel_scales, coord) {
n_max <- data$n_max[1]
data <- data %>%
dplyr::group_by(group) %>%
dplyr::slice_max(magnitude, n = n_max)
# transform the data
coords <- coord$transform(data, panel_scales)
# Draw the points
points <- grid::pointsGrob(
coords$x, coords$y,
pch = coords$shape,
gp = grid::gpar(
col = alpha(coords$colour, coords$alpha),
fill = alpha(coords$fill, coords$alpha),
lwd = coords$size * .pt,
fontsize = coords$size * .pt
)
)
# adding the text to the vertical lines over the timeline
labels <- grid::textGrob(
label = coords$label,
x = unit(coords$x, "npc"),
y = unit(coords$y + 0.16/length(unique(coords$y)), "npc"),
just = "left",
rot = 60,
gp = grid::gpar(lwd = coords$size * .pt, fontsize=10 )
)
# creating the vertical lines over the timeline
seg_label <- grid::segmentsGrob(
x0 = grid::unit(coords$x, "npc"),
y0 = grid::unit(coords$y, "npc"),
x1 = grid::unit(coords$x, "npc"),
y1 = grid::unit(coords$y + 0.12/length(unique(coords$y)), "npc"),
default.units = "npc",
arrow = NULL,
name = NULL,
gp = grid::gpar(),
vp = NULL
)
lines <- purrr::map(unique(coords$y), function(x)
grid::linesGrob(y = c(x, x)))
params <- c(list(points), lines, list(labels),
list(seg_label))
# use do.call to apply a function
# to a variable number of parameters
grid::gTree(children = do.call(grid::gList, params))
}
)
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