https://github.com/cran/fields
Tip revision: 8eab500c3dad2103092ff68706417414fe53e16b authored by Doug Nychka on 22 September 2009, 20:23:49 UTC
version 6.01
version 6.01
Tip revision: 8eab500
in.poly.R
# fields, Tools for spatial data
# Copyright 2004-2007, Institute for Mathematics Applied Geosciences
# University Corporation for Atmospheric Research
# Licensed under the GPL -- www.gpl.org/licenses/gpl.html
"in.poly" <- function(xd, xp, convex.hull = FALSE,
inflation = 1e-07) {
if (convex.hull) {
xp <- xp[chull(xp), ]
}
nd <- as.integer(nrow(xd))
np <- as.integer(nrow(xp))
#
# inflate convex hull slightly to include any points actually on the hull
#
if (convex.hull) {
xm <- matrix(c(mean(xp[, 1]), mean(xp[, 2])), nrow = np,
ncol = 2, byrow = TRUE)
xp <- (xp - xm) * (1 + inflation) + xm
}
# Note: inpoly FORTRAN has built in quick reject check to be inside
# the bounding rectangle of the polygon.
ind <- .Fortran("inpoly", nd = as.integer(nd), as.single(xd[,
1]), as.single(xd[, 2]), np = np, as.single(xp[, 1]),
as.single(xp[, 2]), ind = as.integer(rep(-1, nd)), PACKAGE = "fields")$ind
as.logical(ind)
}
in.poly.grid <- function(grid.list, xp, convex.hull = FALSE,
inflation = 1e-07) {
# loop through rows of grid to fill out a logical matrix of
# being in (TRUE) or out (FALSE)
#
# this is just to avoid creating the full set of image locations.
if (convex.hull) {
xp <- xp[chull(xp), ]
}
nx <- length(grid.list$x)
ny <- length(grid.list$y)
np <- as.integer(nrow(xp))
#
# inflate convex hull slightly to include any points actually on the hull
#
if (convex.hull) {
xm <- matrix(c(mean(xp[, 1]), mean(xp[, 2])), nrow = np,
ncol = 2, byrow = TRUE)
xp <- (xp - xm) * (1 + inflation) + xm
}
# Note: inpoly FORTRAN has built in quick reject check to be inside
# the bounding rectangle of the polygon.
ind <- .Fortran("igpoly", nx = as.integer(nx), xg = as.single(grid.list$x),
ny = as.integer(ny), yg = as.single(grid.list$y), np = np,
as.single(xp[, 1]), as.single(xp[, 2]), ind = as.integer(rep(-1,
nx * ny)), PACKAGE = "fields")$ind
return(matrix(as.logical(ind), nrow = nx, ncol = ny))
}