首页 > 解决方案 > sf 和 stars:多边形化分类栅格

问题描述

l只想为栅格中的“目标”分类绘制栅格计数(),x而不考虑 NA 值。我尝试这样做:

# Packages
library(stars)
library(sf)

#Vectorizing a raster object to an sf object
tif = system.file("tif/L7_ETMs.tif", package = "stars")
x = read_stars(tif)[, 1:50, 1:50, 1:2]
x[[1]] = round(x[[1]]/5)
x[[1]] = ifelse(x[[1]]<10,NA,"target")
str(x[[1]])

#Polygonizing
l =  st_contour(x)
plot(l[1])
Error in CPL_write_gdal(mat, file, driver, options, type, dims, from,  : 
  Not compatible with requested type: [type=character; target=double].

但是,不起作用。请问,有什么帮助吗?

提前致谢,

亚历山大

标签: rrastersfr-stars

解决方案


您的脚本有几个错误,首先st_contour是表明它与字符类型不兼容(参考您在栅格中设置的“目标”字符串)。其次,我建议使用内部的 breaks 参数st_contour来设置您希望获得轮廓的目标值。此外,您可能希望使用x[rule] <- NA屏蔽栅格中的某些值。我对您的代码进行了其他修改,可能会有所帮助:

# Let's stay with only the first band, indicated in the final dimension
x = read_stars(tif)[, 1:50, 1:50, 1]
x = round(x/5)
# Calculate the min and max of the raster values
purrr::map(x, min)
# 10
purrr::map(x, max)
# 28
# Mask values lower than 10
# However, this does not make any change, because the lowest value is 10
x[x<10] <- NA
# Take a look at the image
plot(x)

# Obtain the contours
l =  st_contour(x, 
                # Remove NA
                na.rm = T,
                # Obtain contour lines instead of polygons
                contour_lines = TRUE,
                # raster values at which to draw contour levels
                breaks = 12)
# Plot the contours
plot(l)

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