Structure of Combined Fude Polygon Data with Agricultural Community Boundary Data

There are 7 types of objects obtained by combine_fude(), as follows:

names(db)

## [1] "fude"            "fude_split"      "community"       "community_union"
## [5] "ov"              "lg"              "pref"

The possible values for community in combine_fude() can be listed as follows.

library(dplyr)
library(data.tree)
library(ggplot2)

b[[1]] |>
  filter(grepl("松山", KCITY_NAME)) |>
  mutate(pathString = paste(PREF_NAME, CITY_NAME, KCITY_NAME, RCOM_NAME, sep = "/")) |>
  data.tree::as.Node() |>
  print(limit = 10)

##                             levelName
## 1  愛媛県                            
## 2   °--松山市                        
## 3       °--松山市                    
## 4           ¦--土居田                
## 5           ¦--針田                  
## 6           ¦--小栗第１              
## 7           ¦--小栗第２              
## 8           ¦--小栗第３              
## 9           ¦--藤原第１              
## 10          °--... 102 nodes w/ 0 sub

ggplot(data = b[[1]] |> filter(grepl("松山", KCITY_NAME))) + 
  geom_sf(fill = NA) +
  geom_sf_text(aes(label = RCOM_NAME), size = 2, family = "Hiragino Sans") +
  theme_void()

出典：農林水産省「筆ポリゴンデータ（2022年度公開）」および「農業集落境界データ（2022年度）」を加工して作成。