从网格单元内的栅格中提取随机点

Question

我想从每个网格单元内的栅格的随机坐标中提取非 NA 值。

栅格示例

library(raster)
r <- raster(ncol = 10, nrow = 10, xmx = -80, xmn = -150, ymn = 20, ymx = 60)
values(r) <- runif(ncell(r))

网格示例

grid <- raster(extent(r))
res(grid) <- 15
proj4string(grid)<- proj4string(r)
gridpolygon <- rasterToPolygons(grid)

plot(r)
plot(gridpolygon, add = T)

如何为每个网格单元内的每个栅格部分提取具有随机坐标的值？

我对这类东西真的很陌生，所以非常欢迎任何建议。谢谢

Answer 1

您没有指定抽样的所有条件，所以我在这里进行一些假设。可以对每个网格多边形采样一个点并提取值。以下是您如何一次性完成并希望获得最佳结果：

# pick random points per each grid  cell and plot
set.seed(357)
pickpts <- sapply(gridpolygon@polygons, spsample, n = 1, type = "random")
sapply(pickpts, plot, add = TRUE)

# extract values of raster cells at specified points
sapply(pickpts, FUN = extract, x = r)

或者您可以循环执行并采样，直到获得非 NA 值。

N <- length(gridpolygon@polygons)
result <- rep(NA, times = N)

for (i in 1:N) {
  message(sprintf("Trying polygon %d", i))

  pl <- gridpolygon@polygons[[i]]
  candval <- result[i] # start with NA

  # sample until you get a non-NA hit
  while (is.na(candval)) {
    pickpoint <- spsample(pl, n = 1, type = "random")
    candval <- extract(x = r, y = pickpoint)
  }

  result[i] <- candval

}
result

 [1] 0.4235214 0.6081435 0.9126583 0.1710365 0.7788590 0.9413206 0.8589753
 [8] 0.0376722 0.9662231 0.1421353 0.0804440 0.1969363 0.1519467 0.1398272
[15] 0.4783207

从网格单元内的栅格中提取随机点

Extracting random points from a raster within a grid cell

r

raster

spatial

geospatial

r-raster