jba*_*ums 18
您还没有让我们访问您的数据,但这里是一个代表世界城市的点的示例,使用Carson Farmer在他博客上描述的方法.希望它会让你开始......
# Carson's Voronoi polygons function
voronoipolygons <- function(x) {
require(deldir)
require(sp)
if (.hasSlot(x, 'coords')) {
crds <- x@coords
} else crds <- x
z <- deldir(crds[,1], crds[,2])
w <- tile.list(z)
polys <- vector(mode='list', length=length(w))
for (i in seq(along=polys)) {
pcrds <- cbind(w[[i]]$x, w[[i]]$y)
pcrds <- rbind(pcrds, pcrds[1,])
polys[[i]] <- Polygons(list(Polygon(pcrds)), ID=as.character(i))
}
SP <- SpatialPolygons(polys)
voronoi <- SpatialPolygonsDataFrame(SP, data=data.frame(x=crds[,1],
y=crds[,2], row.names=sapply(slot(SP, 'polygons'),
function(x) slot(x, 'ID'))))
}
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示例1:输入是SpatialPointsDataFrame:
# Read in a point shapefile to be converted to a Voronoi diagram
library(rgdal)
dsn <- system.file("vectors", package = "rgdal")[1]
cities <- readOGR(dsn=dsn, layer="cities")
v <- voronoipolygons(cities)
plot(v)
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示例2:输入是x,y坐标的向量:
dat <- data.frame(x=runif(100), y=runif(100))
v2 <- voronoipolygons(dat)
plot(v2)
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