r gis:用 sf 识别多边形之间的内部边界

r gis: identify inner borders between polygons with sf

这是 的更新,相同的任务只需要在 sf 框架内完成即可。


我需要识别多边形之间的内部边界,这张地图中的红线。


sp 框架中,我曾经使用一个自写的函数来包装@Spacedman 的 。在这里:

identify_borders <- function(SPolyDF){
    require(rgeos)
    require(sp)
    borders <- gDifference(
            as(SPolyDF,"SpatialLines"),
            as(gUnaryUnion(SPolyDF),"SpatialLines"),
            byid=TRUE)

    df <- data.frame(len = sapply(1:length(borders), 
                                  function(i) gLength(borders[i, ])))
    rownames(df) <- sapply(1:length(borders), 
                           function(i) borders@lines[[i]]@ID)

    SLDF <- SpatialLinesDataFrame(borders, data = df)
    return(SLDF)
}

或者可以使用 raster::boundaries()


获取空间数据和复制地图的代码

# dev version of ggplot2 for geom_sf()
devtools::install_github("tidyverse/ggplot2")

library(tidyverse)
library(sf)

load(url("https://ikashnitsky.github.io/share/1712-so-q-identify-borders/geodata.Rdata"))

ggplot() + 
        geom_sf(data = gd_nuts0) + 
        geom_sf(data = gd_borders, color = "red") + 
        coord_sf(datum = NA) + 
        theme_void()

事实证明,rmapshaper 恰好具有所需的功能,并且可以很好地与 sf 对象一起使用 -- ms_innerlines()。唯一的困难(可能是错误)是 ms_innerlines() returns 列表而不是 sf 对象。但这种奇怪的行为很容易解决。下面是解决代码。请注意,我简化了初始多边形以查看差异。从 sf 对象创建的新内部边框以海军色绘制。

# dev version of ggplot2 for geom_sf()
devtools::install_github("tidyverse/ggplot2")

library(tidyverse)
library(sf)
library(rmapshaper)

load(url("https://ikashnitsky.github.io/misc/171211-so-question-identify-borders/geodata.Rdata"))

sf_poly_simp <- gd_nuts0 %>% 
        ms_simplify(keep = .2, keep_shapes = TRUE) 

sf_bord_simp <- sf_poly_simp %>% 
        ms_innerlines() %>% 
        as_tibble() %>% 
        st_as_sf()

ggplot() + 
        geom_sf(data = sf_poly_simp) + 
        geom_sf(data = sf_bord_simp, color = "navy", size = 1) + 
        geom_sf(data = gd_borders, color = "red", size = .1) + 
        coord_sf(datum = NA) + 
        theme_void()

rmapshaper 使用javascript,那是作弊!我试过了:

i = st_intersection(gd_nuts0, gd_nuts0)
i2 <- i[i$nuts_id != i$nuts_id.1,]
plot(gd_nuts0[1])
plot(i2, add = TRUE, col  ='red', lwd = 2)