合并的Voronoi多边形和地图(Combine Voronoi polygons and maps

我想的Voronoi多边形地图相结合，才能使用这个后来为空间分析。 我有我要合并，然后保存为shape文件/空间的多边形点和shape文件的数量。 为了得到沃罗诺伊多边形我使用功能，从这个话题 。

我的代码如下：

coords<-data.frame(LONG=c(16.9252,16.9363,16.9408,16.8720,16.9167,16.9461,16.9093,16.9457,16.9171,16.8506,16.9471,16.8723,16.9444,16.9212,16.8809,16.9191,16.8968,16.8719,16.9669,16.8845),
LAT=c(52.4064,52.4266,52.3836,52.3959,52.4496,52.3924,52.4012,52.3924,52.3777,52.4368,52.4574,52.3945,52.4572,52.3962,52.3816,52.3809,52.3956,52.3761,52.4236,52.4539))

我的地图，请访问： https://docs.google.com/file/d/0B-ZJyVlQBsqlSURiN284dF9YNUk/edit

library(rgdal)
voronoipolygons <- function(x) {
  require(deldir)
  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))
  require(sp)
  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'))))
}

而我的代码来获得voronoipolygons：

pzn.coords<-voronoipolygons(coords)
plot(pznall)
plot(pzn.coords,add=T)
points(coords$LONG,coords$LAT)

结果：

我婉里面有我的地图新spatialpolygon这个Voronoi多边形。

我将是anwsers不胜感激！

编辑：

需要明确的是，我想要实现这样的事情（这行应的Voronoi多边形创建）：

Answer 1:

稍微修改功能，需要一个额外的空间的多边形参数，并延伸到盒：

voronoipolygons <- function(x,poly) {
  require(deldir)
  if (.hasSlot(x, 'coords')) {
    crds <- x@coords  
  } else crds <- x
  bb = bbox(poly)
  rw = as.numeric(t(bb))
  z <- deldir(crds[,1], crds[,2],rw=rw)
  w <- tile.list(z)
  polys <- vector(mode='list', length=length(w))
  require(sp)
  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'))))

  return(voronoi)

}

然后做：

pzn.coords<-voronoipolygons(coords,pznall)
library(rgeos)
gg = gIntersection(pznall,pzn.coords,byid=TRUE)
plot(gg)

需要注意的是gg是SpatialPolygons对象，你可能会得到一个关于不匹配proj4串警告。 您可能需要将proj4字符串分配给一个或其他对象。

文章来源: Combine Voronoi polygons and maps