将 POLYGON 聚合为 MULTIPOLYGON 并保留 data.frame

Question

我有一个 sf 多边形几何类型的对象。我想使用分组属性 (group_attr) 将这些多边形聚合成 MULTIPOLYGON，并加入一个具有属性 table 的新 MULTIPOLYGON 对象。因此，我将得到一个包含两行和三列的 sf 对象（group_attr、second_attr、几何）。我已经尝试使用 st_cast - 它适用于 sfc 对象，但不适用于 sf 对象。是否可以使用 sf 包来做到这一点？

p1 <- rbind(c(0,0), c(1,0), c(3,2), c(2,4), c(1,4), c(0,0))
pol1 <-st_polygon(list(p1))
p2 <- rbind(c(3,0), c(4,0), c(4,1), c(3,1), c(3,0))
pol2 <-st_polygon(list(p2))
p3 <- rbind(c(4,0), c(4,1), c(5,1), c(5,0),c(4,0))
pol3 <-st_polygon(list(p3))
p4 <- rbind(c(3,3), c(4,2), c(4,3), c(3,3))
pol4 <-st_polygon(list(p4))

d <- data.frame(group_attr = c(1, 1, 2, 2), 
                second_attr = c('forest', 'forest', 'lake', 'lake'))
d$geometry <- st_sfc(pol1, pol2, pol3, pol4)
df<- st_as_sf(d)
plot(df)
df

Simple feature collection with 4 features and 2 fields
geometry type:  POLYGON
dimension:      XY
bbox:           xmin: 0 ymin: 0 xmax: 5 ymax: 4
epsg (SRID):    NA
proj4string:    NA
  group_attr second_attr                       geometry
1          1      forest POLYGON((0 0, 1 0, 3 2, 2 4...
2          1      forest POLYGON((3 0, 4 0, 4 1, 3 1...
3          2        lake POLYGON((4 0, 4 1, 5 1, 5 0...
4          2        lake  POLYGON((3 3, 4 2, 4 3, 3 3))

Answer 1

非常老套（或幼稚）的方法：

attr_table <- df %>% 
        as_data_frame() %>% 
        select(-geometry) %>% 
        unique()

new_df <- df %>% 
        group_by(group_attr) %>% 
        summarise() %>% 
        as.data.frame(.) %>% 
        left_join(., attr_table, by='group_attr')   %>% 
        st_as_sf()

new_df

Simple feature collection with 2 features and 2 fields
geometry type:  MULTIPOLYGON
dimension:      XY
bbox:           xmin: 0 ymin: 0 xmax: 5 ymax: 4
epsg (SRID):    NA
proj4string:    NA
  group_attr second_attr                       geometry
1          1      forest MULTIPOLYGON(((3 0, 3 1, 4 ...
2          2        lake MULTIPOLYGON(((4 0, 4 1, 5 ...

Answer 2

或：

> aggregate(df, list(df$second_attr), function(x) x[1])
Simple feature collection with 2 features and 3 fields
Attribute-geometry relationship: 0 constant, 2 aggregate, 1 identity
geometry type:  MULTIPOLYGON
dimension:      XY
bbox:           xmin: 0 ymin: 0 xmax: 5 ymax: 4
epsg (SRID):    NA
proj4string:    NA
  Group.1 group_attr second_attr                       geometry
1  forest          1      forest MULTIPOLYGON(((3 0, 3 1, 4 ...
2    lake          2        lake MULTIPOLYGON(((4 0, 4 1, 5 ...

Answer 3

基于https://github.com/r-spatial/sf/issues/634#issuecomment-365151794的新方法：

library(dplyr)

df_new <- df %>%
  group_by(group_attr) %>%
  summarise_all(first) 
df_new

Simple feature collection with 2 features and 2 fields
geometry type:  MULTIPOLYGON
dimension:      XY
bbox:           xmin: 0 ymin: 0 xmax: 5 ymax: 4
epsg (SRID):    NA
proj4string:    NA
# A tibble: 2 x 3
  group_attr second_attr                                                        geometry
       <dbl> <fct>                                                        <MULTIPOLYGON>
1       1.00 forest      (((3 0, 3 1, 4 1, 4 0, 3 0)), ((0 0, 1 4, 2 4, 3 2, 1 0, 0 0)))
2       2.00 lake                  (((4 0, 4 1, 5 1, 5 0, 4 0)), ((3 3, 4 2, 4 3, 3 3)))

将 POLYGON 聚合为 MULTIPOLYGON 并保留 data.frame

Aggregate POLYGONs to MULTIPOLYGONs and keep data.frame

aggregate

r

spatial

sf