相交两个 shapefile 后:`vapply(g2, st_is_empty, logical(1))` 中的错误

After intersecting two shapefiles: `Error in vapply(g2, st_is_empty, logical(1))`

我运行以下:

library(dplyr)
library(sf)
library(tigris)
library(tmap)

options(tigris_class = 'sf')
options(tigris_use_cache = TRUE)

nj = tigris::states(cb = T, year = 2015) %>%
  filter(STUSPS == 'NJ')

nj_msas = tigris::core_based_statistical_areas(cb = T, year = 2015) %>%
  filter(grepl('NJ', NAME)) %>%
  sf::st_intersection(nj)

tmap_mode('plot')

nj_msas %>%
  tm_shape() +
  tm_polygons()

最后一个块给出了错误:

Error in vapply(g2, st_is_empty, logical(1)) : values must be length 1, but FUN(X[[3]]) result is length 148

当我删除 st_intersection 时,我从最后一个块中没有得到任何错误。我无法通过谷歌搜索在任何地方找到此错误消息。有谁知道怎么回事吗?

此外,如果我 运行 除了最后一个块之外的所有上述内容,并且我使用 ggplot2::geom_sf 创建地图,而不是 tmap 函数,我得到我的地图想。没有错误。

我正在使用 Ubuntu 18.04.1。 RStudio v1.1.463。 R 3.5.2。底格里斯河 0.7。地图 2.2。平方英尺 0.7-2.

似乎是由于相交产生的几何列 是“GEOMETRY”类型而不是“POLYGON”类型,可能是由于轻微的 tigris::statestigris::core_based_statistical_areas 之间的错位, 导致错误 tm_shape():

> nj_msas
Simple feature collection with 7 features and 17 fields
geometry type:  GEOMETRY
dimension:      XY
bbox:           xmin: -75.55961 ymin: 38.92852 xmax: -73.89398 ymax: 41.35742
epsg (SRID):    4269
proj4string:    +proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defs
CSAFP CBSAFP       AFFGEOID GEOID                                        NAME LSAD       ALAND     AWATER STATEFP
    1   428  36140 310M200US36140 36140                              Ocean City, NJ   M1   651209688  955666476      34
    2   408  10900 310M200US10900 10900           Allentown-Bethlehem-Easton, PA-NJ   M1  3763879943   58581593      34
    3   428  47220 310M200US47220 47220                      Vineland-Bridgeton, NJ   M1  1252937239  502091171      34
    4   408  45940 310M200US45940 45940                                 Trenton, NJ   M1   581629671   11189320      34
    5   428  37980 310M200US37980 37980 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD   M1 11920145588  693341961      34
    6   408  35620 310M200US35620 35620       New York-Newark-Jersey City, NY-NJ-PA   M1 21478408908 6689374328      34
    7   428  12100 310M200US12100 12100                 Atlantic City-Hammonton, NJ   M1  1439256827  300767732      34
       STATENS  AFFGEOID.1 GEOID.1 STUSPS     NAME.1 LSAD.1     ALAND.1   AWATER.1                       geometry
    1 01779795 0400000US34      34     NJ New Jersey     00 19048075783 3543447118 MULTIPOLYGON (((-74.55255 3...
    2 01779795 0400000US34      34     NJ New Jersey     00 19048075783 3543447118 POLYGON ((-75.12051 40.9683...
    3 01779795 0400000US34      34     NJ New Jersey     00 19048075783 3543447118 POLYGON ((-75.41956 39.4132...
    4 01779795 0400000US34      34     NJ New Jersey     00 19048075783 3543447118 POLYGON ((-74.94228 40.3408...
    5 01779795 0400000US34      34     NJ New Jersey     00 19048075783 3543447118 GEOMETRYCOLLECTION (LINESTR...
    6 01779795 0400000US34      34     NJ New Jersey     00 19048075783 3543447118 POLYGON ((-74.02454 40.7094...
    7 01779795 0400000US34      34     NJ New Jersey     00 19048075783 3543447118 POLYGON ((-74.98522 39.5148...

您可以通过仅从相交结果中提取多边形来解决此问题:

library(dplyr)
library(sf)
library(tigris)
library(tmap)

options(tigris_class = 'sf')
options(tigris_use_cache = TRUE)

nj = tigris::states(cb = T, year = 2015) %>%
  filter(STUSPS == 'NJ')

nj_msas = tigris::core_based_statistical_areas(cb = T, year = 2015) %>%
  filter(grepl('NJ', NAME)) %>%
  sf::st_intersection(nj) %>% 
  sf::st_collection_extract("POLYGON")

tmap_mode('plot')
#> tmap mode set to plotting
tm_shape(nj_msas) + tm_polygons()

,或者通过在 nj 数据集上设置精度:

nj_msas = tigris::core_based_statistical_areas(cb = T, year = 2015) %>%
  filter(grepl('NJ', NAME)) %>%
  sf::st_intersection(sf::st_set_precision(nj ,1000))

tm_shape(nj_msas) + tm_polygons()

reprex package (v0.2.1)

于 2019-01-10 创建

Ibusett 的回复对我有用,添加了

%>% sf::st_collection_extract("POLYGON")

在我的转换更改结束时,尝试仅在县边界内识别学区边界。

它仍然适用于 ggplot。

谢谢