#' Create or cast to a point \code{geom}
#'
#' Create a point geometry (of class \code{\link{geom}}) either programatically
#' by specifying coordinate values, by sketching it or by casting to it from
#' another geom type.
#' @param crds [data.frame(2)][data.frame]\cr Coordinates to build the
#' \code{geom} from. It must include the column names \code{x} and \code{y}.
#' @param window [data.frame(2)][data.frame]\cr in case the reference window
#' deviates from the bounding box of \code{crds}, specify here the minimum and
#' maximum values in columns \code{x} and \code{y}.
#' @param vertices [integerish(1)][integer]\cr if neither \code{crds} nor
#' \code{window} are given, this indicates how often you can click into a plot
#' to determine the location of the coordinates manually.
#' @param geom [gridded(1)][geom]\cr the geom to cast to type 'point'.
#' @return A point geom.
#' @family geometry shapes
#' @examples
#' # 1. create points programmatically
#' coords <- data.frame(x = c(40, 70, 70, 50),
#' y = c(40, 40, 60, 70))
#'
#' # if no window is set, the bounding box will be set as window ...
#' (pointGeom <- geo_point(crds = coords))
#'
#' # ... otherwise the vertices are plotted relative to the window
#' window <- data.frame(x = c(0, 80),
#' y = c(0, 80))
#' points <- geo_point(crds = coords, window = window)
#'
#' geo_vis(points, linecol = "#FFB000")
#'
#' # 2. cast to point geom from another type
#' pointGeom <- as_point(geom = gtGeoms$polygon)
#'
#' geo_vis(gtGeoms$polygon, linecol = "#FFB000", theme = setTheme(box = list(fillcol = "#282828")))
#' geo_vis(pointGeom, linecol = "#33FF00", pointsymbol = 5, new = FALSE)
#'
#' # 3. sketch two points
#' if(dev.interactive()){
#' points <- geo_point(vertices = 2)
#' geo_vis(points, linecol = "#B24223", pointsymbol = 22, new = FALSE)
#' }
#' @importFrom checkmate testDataFrame assertNames testNull assert testClass
#' assertLogical assertIntegerish
#' @importFrom geomio getProvenance getPoints getFeatures getGroups getWindow
#' getCRS
#' @importFrom tibble tibble
#' @importFrom methods new
#' @export
geo_point <- function(crds = NULL, window = NULL, vertices = 1){
# check arguments ----
assertDataFrame(x = crds, types = "numeric", any.missing = FALSE, min.cols = 2, min.rows = 1, null.ok = TRUE, .var.name = "crds->cols(x)")
assertDataFrame(x = window, types = "numeric", any.missing = FALSE, ncols = 2, nrows = 2, null.ok = TRUE, .var.name = "window->cols(x)")
if(!is.null(window)) assertNames(x = colnames(window), permutation.of = c("x", "y"), .var.name = "window->names(x)")
assertIntegerish(vertices, min.len = 1, lower = 0, any.missing = FALSE)
# build the tables ...
thePoints <- tibble(fid = integer(), x = numeric(), y = numeric())
theFeatures <- tibble(fid = integer(), gid = integer())
theGroups <- tibble(gid = integer())
# ... then fill them with values
if(!is.null(crds)){
assertNames(x = colnames(crds), must.include = c("x", "y"), .var.name = "crds->names(x)")
if(is.null(window)){
window = tibble(x = c(min(crds$x), max(crds$x)),
y = c(min(crds$y), max(crds$y)))
}
thePoints <- crds
if(!"gid" %in% names(crds)){
crds$gid <- 1
}
thePoints$fid <- seq_along(thePoints$x)
vertices <- dim(thePoints)[1]
theFeatures <- tibble(fid = 1:vertices, gid = crds$gid)
theGroups <- tibble(gid = unique(crds$gid))
} else {
# if no plot is available, first make one
if(is.null(dev.list())){
if(is.null(window)){
window <- tibble(x = c(0, 1), y = c(0, 1))
}
geo_vis(window = window)
} else {
extentGrobMeta <- grid.get(gPath("extentGrob"))
window <- tibble(x = c(as.numeric(extentGrobMeta$x), as.numeric(extentGrobMeta$x) + as.numeric(extentGrobMeta$width)),
y = c(as.numeric(extentGrobMeta$y), as.numeric(extentGrobMeta$y) + as.numeric(extentGrobMeta$height)))
}
# ... if there are more than 0 vertices to be made, locate them
if(vertices != 0){
message(paste0("please click ", vertices, " vertices."))
tempcrds <- geo_locate(samples = vertices)
assertNames(names(tempcrds), must.include = c("x", "y"), .var.name = "points->names(x)")
if(is.null(tempcrds)){
tempcrds <- geo_random(type = "point", vertices = vertices)
tempcrds <- tempcrds@geometry
}
thePoints <- tibble(fid = seq_along(tempcrds$fid), x = tempcrds$x, y = tempcrds$y)
theFeatures = tibble(fid = thePoints$fid, gid = 1)
theGroups = tibble(gid = 1)
}
}
# manage provenance -----
theHistory <- list(paste0("object was created as 'point' geom."))
# put together the geom ----
theData <- list(features = theFeatures, groups = theGroups)
theGeom <- new(Class = "geom",
type = "point",
label = "point_geom",
geometry = thePoints,
data = theData,
window = window,
crs = NA_character_,
provenance = theHistory)
invisible(theGeom)
}
#' @rdname geo_point
#' @export
as_point <- function(geom){
# extract data -----
thePoints <- getPoints(x = geom)
theFeatures <- getFeatures(x = geom)
theGroups <- getGroups(x = geom)
dups <- duplicated(thePoints)
# build slots -----
theFeatures <- merge(x = thePoints[-which(names(thePoints) %in% c("x", "y"))], y = theFeatures, by = "fid", all.x = TRUE)[!dups,]
theFeatures$fid <- seq_along(theFeatures$fid)
thePoints <- thePoints[!dups,]
thePoints$fid <- seq_along(thePoints$x)
# manage provenance -----
hist <- paste0("object was cast to 'point' geom.")
# put together the geom ----
tempData <- list(features = theFeatures, groups = theGroups)
theData <- stats::setNames(object = list(tempData), nm = "point_geom")
theGeom <- new(Class = "geom",
type = "point",
geometry = thePoints,
data = theData,
window = getWindow(x = geom),
crs = getCRS(x = geom),
provenance = c(getProvenance(x = geom), list(hist)))
invisible(theGeom)
}
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