问题描述
我有一个sf
对象的列表,我想对其进行行绑定以创建单个sf
对象.我正在寻找类似于data.table::rbindlist
的功能,该功能可以有效地堆叠单个对象.
I have a list of sf
objects that I would like to row bind to create a single sf
object. I'm looking for a function similar to data.table::rbindlist
, that would stack the individual objects in an efficient manner.
my_list <- structure(list(structure(list(idhex = 4L, geometry = structure(list(
structure(c(664106.970004623, 6524137.38910266), class = c("XY",
"POINT", "sfg"))), class = c("sfc_POINT", "sfc"), precision = 0, bbox = structure(c(xmin = 664106.970004623,
ymin = 6524137.38910266, xmax = 664106.970004623, ymax = 6524137.38910266
), class = "bbox"), crs = structure(list(epsg = 32633L, proj4string = "+proj=utm +zone=33 +datum=WGS84 +units=m +no_defs"), class = "crs"), n_empty = 0L)), row.names = 1L, class = c("sf",
"data.frame"), sf_column = "geometry", agr = structure(c(idhex = NA_integer_), .Label = c("constant",
"aggregate", "identity"), class = "factor")), structure(list(
idhex = 9, geometry = structure(list(structure(c(665491.220375992,
6525002.7560692), class = c("XY", "POINT", "sfg"))), class = c("sfc_POINT",
"sfc"), precision = 0, bbox = structure(c(xmin = 665491.220375992,
ymin = 6525002.7560692, xmax = 665491.220375992, ymax = 6525002.7560692
), class = "bbox"), crs = structure(list(epsg = 32633L, proj4string = "+proj=utm +zone=33 +datum=WGS84 +units=m +no_defs"), class = "crs"), n_empty = 0L)), row.names = 1L, class = c("sf",
"data.frame"), sf_column = "geometry", agr = structure(c(idhex = NA_integer_), .Label = c("constant",
"aggregate", "identity"), class = "factor"))), .Dim = 1:2, .Dimnames = list(
".", NULL))
请注意,data.table
和sf
库尚未完全兼容.因此,rbindlist
函数将返回一个未被识别为`sf对象的对象.
Note that data.table
and sf
libraries are not entirely compatible yet. So the rbindlist
function returns an object that is not recognized as an `sf object.
single_sf <- rbindlist(my_list)
class(single_sf)
推荐答案
df <- do.call(rbind, my_list)
> class(df)
[1] "sf" "data.frame"
值得注意的是,dplyr::bind_rows
和purrr::map_dfr
不适用于sf对象,因此在这种情况下rbind
更好.
It is worth noting that dplyr::bind_rows
and purrr::map_dfr
does not work with sf objects, and thus rbind
is better in this case.
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