Package 'fude'

Title: Utilities for Fude Polygon
Description: Provides utilities to facilitate handling of Fude Polygon data downloadable from the Ministry of Agriculture, Forestry and Fisheries website <https://open.fude.maff.go.jp>.
Authors: Takeshi Nishimura [aut, cph, cre]
Maintainer: Takeshi Nishimura <[email protected]>
License: MIT + file LICENSE
Version: 0.3.7.9000
Built: 2025-02-21 06:01:57 UTC
Source: https://github.com/takeshinishimura/fude

Help Index

Bind multiple Fude Polygon data

Description

bind_fude() binds a list of polygon data. It also binds a list of data combined by combine_fude().

Usage

bind_fude(...)

Arguments

...

Database lists to be combined. They should all have the same named elements.

Value

A list of sf::sf() object(s).

See Also

read_fude(), combine_fude().

Examples

path <- system.file("extdata", "castle.zip", package = "fude")
d1 <- read_fude(path, stringsAsFactors = FALSE, quiet = TRUE)
d2 <- read_fude(path, stringsAsFactors = FALSE, quiet = TRUE)
bind_fude(d1, d2)

Generate Citation Text for Fude Polygon Data

Description

Generates citation text in Japanese and English for Fude Polygon Data.

Usage

cite_fude(data)

Arguments

data

A list or data frame containing Fude Polygon data.

Value

A list with two elements: ja for Japanese citation text and en for English citation text.

Examples

data <- list(fude = data.frame(issue_year = c(2021, 2020), boundary_edit_year = c(2019, 2020)))
cite_fude(data)

Combine the Fude Polygon data with the agricultural community boundary data

Description

combine_fude() uses the agricultural community boundary data to reduce the Fude Polygon data to the community units.

Usage

combine_fude(data, boundary, city, kcity = "", community = "", year = NULL)

Arguments

data

List of sf::sf() objects.
boundary

List of one or more agricultural community boundary data provided by the MAFF.
city

A local government name in Japanese to be extracted. In the case of overlapping local government names, this must contain the prefecture name in Japanese and the prefecture code in romaji (e.g., "Fuchu-shi, 13", "fuchu 13", "34 fuchu-shi", "34, FUCHU-CHO"). Alternatively, it could be a 6-digit local government code.
kcity

String by regular expression. One or more former village name in Japanese to be extracted.
community

String by regular expression. One or more agricultural community name in Japanese to be extracted.
year

Year in the column name of the data. If there is more than one applicable local government code, it is required.

Value

A list of sf::sf() objects.

See Also

read_fude().

Examples

path <- system.file("extdata", "castle.zip", package = "fude")
d <- read_fude(path, stringsAsFactors = FALSE)
b <- get_boundary(d)
db <- combine_fude(d, b, "\u677e\u5c71\u5e02", "\u57ce\u6771", year = 2022)

Community code/name correspondence table

Description

A dataset containing codes/names of communities in Japan.

Usage

community_code_table

Format

A data frame with 149,511 rows and 13 variables:

KEY

Unique community codes

PREF_NAME

Prefecture names in Kanji

PREF_KANA

Prefecture names in Hiragana

PREF_ROMAJI

Prefecture names in Romaji

CITY_NAME

City names in Kanji

CITY_KANA

City names in Hiragana

CITY_ROMAJI

City names in Romaji

KCITY_NAME

Former village names in Kanji

RCOM_NAME

Community names in Kanji

RCOM_KANA

Community names in Hiragana

RCOM_ROMAJI

Community names in Romaji

local_government_cd

Local government codes

census_year

The year of the census from which the data is derived

Extract specified agricultural community boundary data

Description

extract_boundary() extracts the specified data from the list returned by get_boundary().

Usage

extract_boundary(boundary, city = "", kcity = "", community = "", all = FALSE)

Arguments

boundary

List of one or more agricultural community boundary data provided by the MAFF.
city

A local government name in Japanese to be extracted. In the case of overlapping local government names, this must contain the prefecture name in Japanese and the prefecture code in romaji (e.g., "Fuchu-shi, 13", "fuchu 13", "34 fuchu-shi", "34, FUCHU-CHO"). Alternatively, it could be a 6-digit local government code.
kcity

String by regular expression. One or more former village name in Japanese to be extracted.
community

String by regular expression. One or more agricultural community name in Japanese to be extracted.
all

logical.

Value

A list of sf::sf() object(s).

See Also

read_fude().

Extract specified Fude Polygon data

Description

extract_fude() extracts the specified data from the list returned by read_fude().

Usage

extract_fude(
  data,
  year = NULL,
  city = NULL,
  kcity = "",
  community = "",
  list = TRUE
)

Arguments

data

List of sf::sf() objects.
year

Years to be extracted.
city

Local government names or codes to be extracted.
kcity

String by regular expression. One or more former village name in Japanese to be extracted.
community

String by regular expression. One or more agricultural community name in Japanese to be extracted.
list

logical. If FALSE, the object to be extracted is no longer a list.

Value

A list of sf::sf() object(s).

See Also

read_fude().

Get the agricultural community boundary data

Description

get_boundary() downloads and reads one or more agricultural community boundary data provided by the MAFF.

Usage

get_boundary(
  data,
  year = 2020,
  census_year = 2020,
  path = NULL,
  to_wgs84 = TRUE,
  quiet = FALSE
)

Arguments

data

List of sf::sf() objects or one or more strings representing prefecture codes.
year

The year when the agricultural community boundary data was created.
census_year

The year of the Agricultural and Forestry Census.
path

Path to the ZIP file containing the agricultural community boundary data; use a local ZIP file instead of going looking for a ZIP file. Specify a directory containing one or more ZIP files, not the ZIP file itself.
to_wgs84

logical. Convert JGD2000 to WGS 84.
quiet

logical. Suppress information about the data to be read.

Value

A list of sf::sf() objects.

Examples

path <- system.file("extdata", "castle.zip", package = "fude")
d <- read_fude(path)
b <- get_boundary(d)

Local government code/name correspondence table

Description

A dataset containing codes/names of local governments in Japan.

Usage

lg_code_table

Format

A data frame with 1,992 rows and 6 variables:

lg_code

Local government codes

pref_kanji

Prefecture names in Kanji

city_kanji

Local government names in Kanji

pref_kana

Prefecture names in Katakana

city_kana

Local government names in Katakana

romaji

Local government names in Romaji

Itemize the structure of Fude Polygon data

Description

ls_fude() lists the year and the local government names (or codes) in order to understand what is included in the list returned by read_fude().

Usage

ls_fude(data)

Arguments

data

List of sf::sf() objects.

Value

A data.frame.

See Also

read_fude().

Prefecture code/name correspondence table

Description

A dataset containing codes/names of prefectures in Japan.

Usage

pref_code_table

Format

A data frame with 47 rows and 2 variables:

pref_code

Prefecture codes

pref_kanji

Prefecture names in Kanji

Read a Fude Polygon ZIP file

Description

read_fude() reads Fude Polygon data as a list. The data can be downloaded from the MAFF website as a ZIP file, which contains one or more spatial data files, such as GeoJSON files (.json or .geojson) and FlatGeobuf files (.fgb). The function also works with ZIP files you created, as long as you do not change the filenames of the original files.

Usage

read_fude(
  path = NULL,
  pref = NULL,
  year = 2024,
  census_year = 2020,
  stringsAsFactors = FALSE,
  supplementary = FALSE,
  to_wgs84 = TRUE,
  quiet = FALSE
)

Arguments

path

Path to the ZIP file containing one or more supported spatial data files. Supported formats include .geojson, .json, and .fgb.
pref

The year when the Fude Polygon data was created.
year

The year when the Fude Polygon data was created.
census_year

The year of the Agricultural and Forestry Census.
stringsAsFactors

logical. Should character vectors be converted to factors?
supplementary

logical. If TRUE, add supplementary information for each polygon.
to_wgs84

logical. Convert JGD2000 to WGS 84.
quiet

logical. Suppress information about the data to be read.

Value

A list of sf::sf() objects.

Examples

path <- system.file("extdata", "castle.zip", package = "fude")
d <- read_fude(path, stringsAsFactors = FALSE)

Rename the Fude Polygon data

Description

rename_fude() renames the 6-digit local government code of the list returned by read_fude() to the corresponding Japanese name in order to make the data human-friendly.

Usage

rename_fude(data, suffix = TRUE, romaji = NULL, quiet = TRUE)

Arguments

data

List of sf::sf() objects.
suffix

logical. If FALSE, suffixes such as "SHI" and "KU" in local government names are removed.
romaji

If not NULL, rename the local government name in romaji instead of Japanese. Romanji format is upper case unless specified.

  • "title": Title case.

  • "lower": Lower case.

  • "upper": Upper case.

quiet

logical. Suppress information about the data to be read.

Value

A list of sf::sf() objects.

See Also

read_fude().

Examples

path <- system.file("extdata", "castle.zip", package = "fude")
d <- read_fude(path, stringsAsFactors = FALSE, quiet = FALSE)
d2 <- rename_fude(d)
d2 <- rename_fude(d, suffix = FALSE)
d2 <- d |> rename_fude(romaji = "upper")

Prepare Leaflet Map for Fude Polygon Data

Description

Prepares a Leaflet map for Fude Polygon data.

Usage

shiny_fude(data, community = FALSE)

Arguments

data

A list or data frame containing Fude Polygon data.
community

A logical value indicating whether to overlay community data on the map.

Value

A Leaflet map object with Fude Polygon data with an HTML table.