#' Bivariate polar 'difference' plots on dynamic and static maps
#'
#' The [diffMap()] function creates a map using bivariate polar plots as
#' markers. Any number of pollutants can be specified using the `pollutant`
#' argument, and multiple layers of markers can be created using `type`. By
#' default, these maps are dynamic and can be panned, zoomed, and otherwise
#' interacted with. Using the `static` argument allows for static images to be
#' produced instead.
#'
#' @inheritSection polarMap Customisation of static maps using ggplot2
#' @family directional analysis maps
#'
#' @inheritParams openair::polarDiff
#' @inheritParams polarMap
#'
#' @param limits *Limits for the plot colour scale.*
#'
#' *default:* `"free"` | *scope:* dynamic & static
#'
#' One of:
#' - `"free"` (the default) which allows all of the markers to use different
#' colour scales.
#' - A numeric vector in the form `c(lower, upper)` used to define the colour
#' scale. For example, `limits = c(-10, 10)` would force the plot limits to
#' span -10 to 10. It is recommended to use a symmetrical limit scale (along
#' with a "diverging" colour palette) for effective visualisation.
#'
#' Note that the `"fixed"` option is not supported in [diffMap()].
#'
#' @param cols *Colours to use for plotting.*
#'
#' *default:* `"RdBu"` | *scope:* dynamic & static
#'
#' The colours used for plotting, passed to [openair::openColours()]. It is
#' recommended to use a "diverging" colour palette (along with a symmetrical
#' `limit` scale) for effective visualisation.
#' @inheritDotParams openair::polarPlot -mydata -pollutant -x -limits -type
#' -cols -key -key.footer -key.header -key.position -units -angle.scale -alpha
#' -plot
#' @returns Either:
#'
#' - *Dynamic:* A leaflet object
#' - *Static:* A `ggplot2` object using [ggplot2::coord_sf()] coordinates with a `ggspatial` basemap
#' @export
#'
#' @seealso [openair::polarDiff()]
#'
#' @examples
#' \dontrun{
#' # NB: "after" is some dummy data to demonstrate functionality
#' diffMap(
#' before = polar_data,
#' after = dplyr::mutate(polar_data, nox = jitter(nox, factor = 5)),
#' pollutant = "nox"
#' )
#' }
diffMap <- function(before,
after,
pollutant = NULL,
x = "ws",
limits = "free",
latitude = NULL,
longitude = NULL,
crs = 4326,
type = NULL,
popup = NULL,
label = NULL,
provider = "OpenStreetMap",
cols = "RdBu",
alpha = 1,
key = FALSE,
legend = TRUE,
legend.position = NULL,
legend.title = NULL,
legend.title.autotext = TRUE,
control.collapsed = FALSE,
control.position = "topright",
control.autotext = TRUE,
d.icon = 200,
d.fig = 3.5,
static = FALSE,
static.nrow = NULL,
...) {
# check basemap providers are valid
provider <- check_providers(provider, static)
legend.position <- check_legendposition(legend.position, static)
# check for old facet/control opts
type <- type %||% check_facet_control(...)
# assume lat/lon
latlon <- assume_latlon(
data = before,
latitude = latitude,
longitude = longitude
)
latitude <- latlon$latitude
longitude <- latlon$longitude
# auto limits
if ("fixed" %in% limits) {
cli::cli_abort("{.code limits = 'fixed'} is currently not supported for {.fun diffMap}.")
# if (length(pollutant) == 1) {
# before <-
# dplyr::mutate(before, latlng = paste(.data[[latitude]], .data[[longitude]]))
# after <-
# dplyr::mutate(after, latlng = paste(.data[[latitude]], .data[[longitude]]))
#
# type <- control
# if (is.null(control)) {
# type <- "default"
# }
#
# testplots <-
# openair::polarDiff(
# before = before, after = after,
# pollutant = pollutant,
# x = x,
# type = c("latlng", type),
# plot = FALSE,
# ...
# )$data
#
# theLimits <- range(testplots[[pollutant]], na.rm = TRUE)
# } else {
# cli::cli_warn("{.code limits == 'auto'} only works with a single given {.field pollutant}")
# }
} else if ("free" %in% limits) {
theLimits <- NA
} else if (is.numeric(limits)) {
theLimits <- limits
} else {
cli::cli_abort(
c(
"!" = "Do not recognise {.field limits} value of {.code {limits}}",
"i" = "{.field limits} should be one of {.code 'fixed'}, {.code 'free'} or a numeric vector of length 2."
)
)
}
# deal with popups
if (length(popup) > 1) {
data <-
quick_popup(
data = before,
popup = popup,
latitude = latitude,
longitude = longitude,
control = type
)
popup <- "popup"
}
# cut data
before <- quick_cutdata(data = before, type = type)
after <- quick_cutdata(data = after, type = type)
# prep data
before <-
prepMapData(
data = before,
pollutant = pollutant,
control = type,
"wd",
x,
latitude,
longitude,
popup,
label
)
after <-
prepMapData(
data = after,
pollutant = pollutant,
control = type,
"wd",
x,
latitude,
longitude
)
# identify splitting column (defaulting to pollutant)
if (length(pollutant) > 1) {
split_col <- "pollutant_name"
} else if (!is.null(type)) {
before[type] <- as.factor(before[[type]])
after[type] <- as.factor(after[[type]])
split_col <- type
} else {
split_col <- "pollutant_name"
}
# define function
fun <- function(before, after) {
openair::polarDiff(
before = before,
after = after,
pollutant = "conc",
x = x,
limits = theLimits,
cols = cols,
alpha = alpha,
key = key,
plot = FALSE,
...,
par.settings = list(axis.line = list(col = "transparent"))
)$plot
}
# plot and save static markers
plots_df <-
create_polar_diffmarkers(
fun = fun,
before = before,
after = after,
latitude = latitude,
longitude = longitude,
split_col = split_col,
d.fig = d.fig,
popup = popup,
label = label
)
if (static) {
# create static map - deals with basics & facets
map <-
create_static_map(
plots_df = plots_df,
latitude = latitude,
longitude = longitude,
split_col = split_col,
pollutant = pollutant,
facet = type,
facet.nrow = static.nrow,
d.icon = d.icon,
crs = crs,
provider = provider
)
# create colorbar if limits specified
if (!all(is.na(theLimits)) & legend) {
legend.title <-
create_legend_title(
static = static,
legend.title.autotext = legend.title.autotext,
legend.title = legend.title,
str = paste(pollutant, collapse = ", ")
)
map <-
map +
ggplot2::geom_point(
data = plots_df,
ggplot2::aes(.data[[longitude]], .data[[latitude]], color = 0),
alpha = 0
) +
ggplot2::scale_color_gradientn(
limits = theLimits,
colours = openair::openColours(scheme = cols)
) +
ggplot2::labs(color = legend.title) +
ggplot2::theme(legend.position = legend.position)
}
}
if (!static) {
# create leaflet map
map <-
make_leaflet_map(
plots_df,
latitude,
longitude,
crs,
provider,
d.icon,
popup,
label,
split_col,
control.collapsed,
control.position,
control.autotext
)
# add legend if limits are set
if (!all(is.na(theLimits)) & legend) {
legend.title <-
create_legend_title(
static = static,
legend.title.autotext = legend.title.autotext,
legend.title = legend.title,
str = paste(pollutant, collapse = ",<br>")
)
map <-
leaflet::addLegend(
map,
title = legend.title,
position = legend.position,
pal = leaflet::colorNumeric(
palette = openair::openColours(scheme = cols),
domain = theLimits
),
values = theLimits
)
}
}
# return map
return(map)
}
#' create diff markers
#' @noRd
create_polar_diffmarkers <-
function(fun,
before = before,
after = after,
latitude = latitude,
longitude = longitude,
split_col = split_col,
popup = NULL,
label = NULL,
d.fig,
dropcol = "conc") {
# make temp directory
dir <- tempdir()
# unique id
id <- gsub(" |:|-", "", as.character(Sys.time()))
# sort out popups/labels
if (is.null(popup)) {
before$popup <- "NA"
popup <- "popup"
}
if (is.null(label)) {
before$label <- "NA"
label <- "label"
}
# drop missing data
before <- tidyr::drop_na(before, dplyr::all_of(dropcol))
after <- tidyr::drop_na(after, dplyr::all_of(dropcol))
# get number of rows
valid_rows <-
nrow(dplyr::distinct(before, .data[[latitude]], .data[[longitude]], .data[[split_col]]))
# nest data
nested_before <- before %>%
tidyr::nest(before = -dplyr::all_of(c(
latitude, longitude, split_col, popup, label
)))
nested_after <- after %>%
tidyr::nest(after = -dplyr::all_of(c(latitude, longitude, split_col)))
# warn if missing
if (nrow(nested_before) != nrow(nested_after)) {
warn_df <-
dplyr::bind_rows(
dplyr::anti_join(
nested_before,
nested_after,
by = c(latitude, longitude, split_col)
),
dplyr::anti_join(
nested_after,
nested_before,
by = c(latitude, longitude, split_col)
)
) %>%
tidyr::unite("warning", dplyr::any_of(c(latitude, longitude, split_col)), sep = "/") %>%
dplyr::distinct(.data$warning)
cli::cli_warn(
c(
"!" = "Not all {.code latitude}/{.code longitude}/{.code control} combinations in {.code before} matched in {.code after}.",
"i" = "Not matched: {.field {warn_df$warning}}"
)
)
}
# check for popup issues
if (nrow(nested_before) > valid_rows) {
cli::cli_abort(
c(
"x" = "Multiple popups/labels per {.code latitude}/{.code longitude}/{.code control} combination.",
"i" = "Have you used a numeric column, e.g., a pollutant concentration?",
"i" = "Consider using {.fun buildPopup} to easily create distinct popups per marker."
)
)
}
# create plots
plots_df <-
dplyr::inner_join(nested_before,
nested_after,
by = c(latitude, longitude, split_col)
) %>%
dplyr::mutate(
plot = purrr::map2(before, after, fun, .progress = "Creating Polar Markers"),
url = paste0(dir, "/", .data[[latitude]], "_", .data[[longitude]], "_", .data[[split_col]], "_", id, ".png")
)
# work out w/h
if (length(d.fig) == 1) {
width <- height <- d.fig
}
if (length(d.fig) == 2) {
width <- d.fig[[1]]
height <- d.fig[[2]]
}
purrr::pwalk(list(plots_df[[latitude]], plots_df[[longitude]], plots_df[[split_col]], plots_df$plot),
.f = ~ {
grDevices::png(
filename = paste0(dir, "/", ..1, "_", ..2, "_", ..3, "_", id, ".png"),
width = width * 300,
height = height * 300,
res = 300,
bg = "transparent",
type = "cairo",
antialias = "none"
)
plot(..4)
grDevices::dev.off()
}
)
return(plots_df)
}
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