spBayes (version 0.3-9)

pointsInPoly: Finds points in a polygon

Description

Given a polygon and a set of points this function returns the subset of points that are within the polygon.

Usage

pointsInPoly(poly, points, ...)

Arguments

poly

an $nx2$ matrix of polygon vertices. Matrix columns correspond to vertices' x and y coordinates, respectively.

points

an $mx2$ matrix of points. Matrix columns correspond to points' x and y coordinates, respectively.

...

currently no additional arguments.

Value

If points are found with the polygon, then a vector is returned with elements corresponding to the row indices of points, otherwise NA is returned.

Details

It is assumed that the polygon is to be closed by joining the last vertex to the first vertex.

Examples

## Not run: 
# ##Example 1
# points <- cbind(runif(1000, 0, 10),runif(1000, 0, 10))
# 
# poly <- cbind(c(1:9,8:1), c(1,2*(5:3),2,-1,17,9,8,2:9))
# 
# point.indx <- pointsInPoly(poly, points)
# 
# plot(points, pch=19, cex=0.5, xlab="x", ylab="y", col="red")
# points(points[point.indx,], pch=19, cex=0.5, col="blue")
# polygon(poly)
# 
# ##Example 2
# ##a function to partition the domain
# tiles <- function(points, x.cnt, y.cnt, tol = 1.0e-10){
# 
#   x.min <- min(points[,1])-tol
#   x.max <- max(points[,1])+tol
#   y.min <- min(points[,2])-tol
#   y.max <- max(points[,2])+tol
#   
#   x.cnt <- x.cnt+1
#   y.cnt <- y.cnt+1
#   
#   x <- seq(x.min, x.max, length.out=x.cnt)
#   y <- seq(y.min, y.max, length.out=y.cnt)
# 
#   tile.list <- vector("list", (length(y)-1)*(length(x)-1))
# 
#   l <- 1
#   for(i in 1:(length(y)-1)){
#     for(j in 1:(length(x)-1)){
#       tile.list[[l]] <- rbind(c(x[j], y[i]),
#                               c(x[j+1], y[i]),
#                               c(x[j+1], y[i+1]),
#                               c(x[j], y[i+1]))
#        l <- l+1
#     }
# 
#   }
# 
#   tile.list
# }
# 
# n <- 1000
# points <- cbind(runif(n, 0, 10), runif(n, 0, 10))
# 
# grd <- tiles(points, x.cnt=10, y.cnt=10)
# 
# plot(points, pch=19, cex=0.5, xlab="x", ylab="y")
# 
# sum.points <- 0
# for(i in 1:length(grd)){
#   polygon(grd[[i]], border="red")
#   
#   point.indx <- pointsInPoly(grd[[i]], points)
#   
#   if(!is.na(point.indx[1])){
#     sum.points <- length(point.indx)+sum.points
#     
#     text(mean(grd[[i]][,1]), mean(grd[[i]][,2]), length(point.indx), col="red")
#   }
# }
# sum.points
# 
# ## End(Not run)