This is an R implementation of Jan Philip Matuschek's bounding box article: Finding Points Within a Distance of a Latitude/Longitude Using Bounding Coordinates.
#' Calculate Bounding Box
#'
#' Caclulate a bounding box for a center point given a set of coordinates.
#'
#' @param lat The latitude of the center point.
#' @param lon The longitude of the center point.
#' @param dist The distance from the center point.
#' @param in.miles logical. If \code{TRUE} uses miles as the units of
#' \code{dist}. If \code{FALSE} uses kilometers.
#' @return Returns a matrix with max/min latitude/longitude values.
#' @references \url{http://janmatuschek.de/LatitudeLongitudeBoundingCoordinates}
#' @keywords bounding_box, coordinates
#' @export
#' @examples
#' bounding_box(38.8977, 77.0366, 1)
bounding_box <- function(lat, lon, dist, in.miles = TRUE) {
## Helper functions
if (in.miles) {
ang_rad <- function(miles) miles/3958.756
} else {
ang_rad <- function(miles) miles/1000
}
`%+/-%` <- function(x, margin){x + c(-1, +1)*margin}
deg2rad <- function(x) x/(180/pi)
rad2deg <- function(x) x*(180/pi)
lat_range <- function(latr, r) rad2deg(latr %+/-% r)
lon_range <- function(lonr, dlon) rad2deg(lonr %+/-% dlon)
r <- ang_rad(dist)
latr <- deg2rad(lat)
lonr <- deg2rad(lon)
dlon <- asin(sin(r)/cos(latr))
m <- matrix(c(lon_range(lonr = lonr, dlon = dlon),
lat_range(latr=latr, r=r)), nrow=2, byrow = TRUE)
dimnames(m) <- list(c("lng", "lat"), c("min", "max"))
m
}
So here we can look at the area within one square mile of the White House:
bounding_box(38.89768, -77.03653, 1)
## min max
## lng -77.06 -77.02
## lat 38.88 38.91
Let's apply it. Here's an example plotting a bounding box around the 2012 Olympic Stadium:
library(ggplot2); library(ggmap)
bb <- bounding_box(lon = -0.016179, lat = 51.538525, 1)
mapImageData <- get_map(location = c(lon = -0.016179, lat = 51.538525),
color = "color",
source = "google",
maptype = "hybrid",
zoom = 14)
ggmap(mapImageData,
extent = "device",
ylab = "Latitude",
xlab = "Longitude") +
geom_rect(aes(xmin = bb[1, 1], xmax = bb[1, 2], ymin = bb[2, 1],
ymax = bb[2, 2]), color="red", fill=NA, size=2) +
geom_point(data=data.frame(lon = -0.016179, lat = 51.538525), size=7,
color="yellow")