如何合并两个具有相同CRS且不重叠区域的sf对象?

假设我有两个具有相同坐标参考系和非重叠区域的sf对象,如何正确地组合这两个sf对象来创建一个sf对象?

下面是一个例子。

# Load packages
library(tidyverse)
library(sf)

# Load the example sf object
nc <- st_read(system.file("shape/nc.shp", package="sf"))

# print the first three rows of nc in the console
head(nc, 3)
# Simple feature collection with 3 features and 14 fields
# geometry type:  MULTIPOLYGON
# dimension:      XY
# bbox:           xmin: -81.74107 ymin: 36.23388 xmax: -80.43531 ymax: 36.58965
# epsg (SRID):    4267
# proj4string:    +proj=longlat +datum=NAD27 +no_defs
#   AREA PERIMETER CNTY_ CNTY_ID      NAME  FIPS FIPSNO CRESS_ID BIR74 SID74 NWBIR74 BIR79 SID79 NWBIR79                       geometry
# 1 0.114     1.442  1825    1825      Ashe 37009  37009        5  1091     1      10  1364     0      19 MULTIPOLYGON (((-81.47276 3...
# 2 0.061     1.231  1827    1827 Alleghany 37005  37005        3   487     0      10   542     3      12 MULTIPOLYGON (((-81.23989 3...
# 3 0.143     1.630  1828    1828     Surry 37171  37171       86  3188     5     208  3616     6     260 MULTIPOLYGON (((-80.45634 3...

nc是一个sf对象,也是一个数据帧。dplyrtidyverse中的大多数函数都可以在sf对象上很好地工作。下面,我使用slice函数将nc对象拆分为nc1nc2

# Split the nc object to two sf objects
nc1 <- nc %>% slice(1:50)
nc2 <- nc %>% slice(51:100)

# Print the crs of nc, nc1, and nc2
st_crs(nc)
# Coordinate Reference System:
#   EPSG: 4267 
#   proj4string: "+proj=longlat +datum=NAD27 +no_defs"
st_crs(nc1)
# Coordinate Reference System:
#   EPSG: 4267 
#   proj4string: "+proj=longlat +datum=NAD27 +no_defs"
st_crs(nc2)
# Coordinate Reference System:
#   EPSG: 4267 
#   proj4string: "+proj=longlat +datum=NAD27 +no_defs"

如您所见,ncnc1nc2都具有相同的坐标参考系统,并且nc1nc2之间没有重叠区域。

因为sf对象是data frames,所以我组合两个data frames的第一个想法是使用dplyr包中的bind_rows。然而,bind_rows给了我一个警告。

# Combine nc1 and nc2 with bind_rows
nc_combine <- bind_rows(nc1, nc2)
# Warning messages:
#   1: In bind_rows_(x, .id) :
#     Vectorizing 'sfc_MULTIPOLYGON' elements may not preserve their attributes
#   2: In bind_rows_(x, .id) :
#     Vectorizing 'sfc_MULTIPOLYGON' elements may not preserve their attributes

新对象nc_combine仍然是一个sf对象和一个与nc具有相同行号和列号的data frame。但是,我无法访问nc_combine中的任何信息,坐标参考信息似乎已消失。

class(nc_combine)
# [1] "sf"         "data.frame"

dim(nc_combine)
# [1] 100  15

nc_combine
# Error in .subset2(x, i, exact = exact) : 
#   attempt to select less than one element in get1index

换句话说,我的问题是,如何组合nc1nc2来重新创建nc对象?

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