Utilities for Japanese Mesh Code

Helpful functions for using mesh code (80km to 125m) data in Japan. Visualize mesh code using 'ggplot2' and 'leaflet', etc.


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Overview

The jpmesh package is a package that makes it easy to use "regional mesh (i.e. mesh code JIS X 0410 )" used in Japan from R. Regional mesh is a code given when subdividing Japanese landscape into rectangular subregions by latitude and longitude. Depending on the accuracy of the code, different regional mesh length. By using the same mesh in statistical survey etc., it will become possible to handle the survey results of a large area in the area mesh unit.

In jpmesh, mesh codes and latitude and longitude coordinates are compatible with mesh codes from the first region mesh, which is the standard region mesh, to the quarter regional mesh of the divided region mesh (from 80 km to 125 m). Features include "conversion from latitude and longitude to regional mesh", "acquisition of latitude and longitude from regional mesh", "mapping on prefecture unit and leaflet".

Installation

From CRAN

install.packages("jpmesh")

For developers

install.packages("devtools")
devtools::install_github("uribo/jpmesh")

Usage

library(jpmesh)

Convert mesh code to coordinate and vice versa

Return the latitude and longitude for specifying the mesh range from the mesh code.

mesh_to_coords(5133) # 80km
#> # A tibble: 1 x 4
#>   lng_center lat_center lng_error lat_error
#>        <dbl>      <dbl>     <dbl>     <dbl>
#> 1       134.       34.3       0.5     0.333
mesh_to_coords(513377) # 10km
#> # A tibble: 1 x 4
#>   lng_center lat_center lng_error lat_error
#>        <dbl>      <dbl>     <dbl>     <dbl>
#> 1       134.       34.6    0.0625    0.0417
mesh_to_coords(51337783) # 1km
#> # A tibble: 1 x 4
#>   lng_center lat_center lng_error lat_error
#>        <dbl>      <dbl>     <dbl>     <dbl>
#> 1       134.       34.7   0.00625   0.00417
mesh_to_coords(513377831) # 500m
#> # A tibble: 1 x 4
#>   lng_center lat_center lng_error lat_error
#>        <dbl>      <dbl>     <dbl>     <dbl>
#> 1       134.       34.7   0.00312   0.00208
mesh_to_coords(5133778312) # 250m
#> # A tibble: 1 x 4
#>   lng_center lat_center lng_error lat_error
#>        <dbl>      <dbl>     <dbl>     <dbl>
#> 1       134.       34.7   0.00156   0.00104
mesh_to_coords(51337783123) # 125m
#> # A tibble: 1 x 4
#>   lng_center lat_center lng_error lat_error
#>        <dbl>      <dbl>     <dbl>     <dbl>
#> 1       134.       34.7  0.000781  0.000521

Find the mesh code within the range from latitude and longitude.

coords_to_mesh(133, 34) # default as 1km meshcode
#> [1] "51330000"
coords_to_mesh(133, 34, mesh_size = "80km")
#> [1] "5133"
coords_to_mesh(133, 34, mesh_size = "125m")
#> [1] "51330000111"

Detect fine and neighborhood mesh codes

# Returns a finer mesh of the area of the mesh codes
# Such as, 80km to 10km mesh codes.
coords_to_mesh(133, 34, "80km") %>% 
  fine_separate()
#>  [1] "513300" "513301" "513302" "513303" "513304" "513305" "513306"
#>  [8] "513307" "513310" "513311" "513312" "513313" "513314" "513315"
#> [15] "513316" "513317" "513320" "513321" "513322" "513323" "513324"
#> [22] "513325" "513326" "513327" "513330" "513331" "513332" "513333"
#> [29] "513334" "513335" "513336" "513337" "513340" "513341" "513342"
#> [36] "513343" "513344" "513345" "513346" "513347" "513350" "513351"
#> [43] "513352" "513353" "513354" "513355" "513356" "513357" "513360"
#> [50] "513361" "513362" "513363" "513364" "513365" "513366" "513367"
#> [57] "513370" "513371" "513372" "513373" "513374" "513375" "513376"
#> [64] "513377"
 
# the value of the adjacent mesh codes
coords_to_mesh(133, 34, "80km") %>% 
  neighbor_mesh()
#> [1] "5032" "5033" "5034" "5132" "5133" "5134" "5232" "5233" "5234"
coords_to_mesh(133, 34, "500m") %>% 
  neighbor_mesh()
#> [1] "503277994" "503370903" "503370904" "513207092" "513207094" "513300001"
#> [7] "513300002" "513300003" "513300004"

Utilies

Drawing a simplified Japanese map based on the mesh code.

library(sf)
#> Linking to GEOS 3.5.1, GDAL 2.1.2, proj.4 4.9.3
plot(jpnrect["abb_name"])

library(ggplot2) # 2.2.1.9000
ggplot() +
  geom_sf(data = jpnrect)

Dataset of mesh code for prefectures.

set.seed(71)
administration_mesh(code = 33, type = "prefecture") %>% 
  head() %>% 
  knitr::kable()
meshcode geometry
513376 list(c(133.75, 133.875, 133.875, 133.75, 133.75, 34.58333, 34.58333, 34.66667, 34.66667, 34.58333))
513377 list(c(133.875, 134, 134, 133.875, 133.875, 34.58333, 34.58333, 34.66667, 34.66667, 34.58333))
523305 list(c(133.625, 133.75, 133.75, 133.625, 133.625, 34.66667, 34.66667, 34.75, 34.75, 34.66667))
523306 list(c(133.75, 133.875, 133.875, 133.75, 133.75, 34.66667, 34.66667, 34.75, 34.75, 34.66667))
523307 list(c(133.875, 134, 134, 133.875, 133.875, 34.66667, 34.66667, 34.75, 34.75, 34.66667))
523315 list(c(133.625, 133.75, 133.75, 133.625, 133.625, 34.75, 34.75, 34.83333, 34.83333, 34.75))

Example)

# For leaflet
library(leaflet)
leaflet() %>% 
  addTiles() %>% 
  addProviderTiles("OpenStreetMap.BlackAndWhite") %>% 
  addPolygons(data = administration_mesh(code = 33101, type = "city"))

ggplot() + 
  geom_sf(data = administration_mesh(code = 33, type = "city"))

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

News

jpmesh 1.1.1 (2018-06-26)

  • Withdrawal from the tidyverse. Remove depends on stringr, tidyr and dplyr.
  • Follow up the units package update.
  • Fixed overlapped probrem (#20)

New features

  • coarse_gather()... Scale-down function #22

jpmesh 1.1.0 (2018-02-25)

  • Support units system (#15)
  • Bug fixed (#13)
  • All return mesh code should be character.
  • Set sf object espg as 4326.

New features

  • is_meshcode(), is_corner()... Predict meshcode format and positions for utility and certain.
  • rmesh()...
  • Rename find_neighbor_mesh() to neighbor_mesh() and separate features (not export functions).
  • export_meshes()

jpmesh 1.0.1 (2017-12-04)

  • add vignettes 1: How to use mesh cord in R

Bug fixes and minor improvements

  • Fixed incorrect allocation of fine mesh code number (#8).
  • Modified eval_jp_boundary() that internal function.
    • Add ... parameters to pass additional arguments.
    • Improved problem of giving mesh code outside of Japan (reopen #6).
  • fine_separate()... Correct behavior when entering 1 km meshcode (#9).

jpmesh 1.0.0 (2017-11-27)

  • Consolidation of functions by integration and abolition. Rename of function name. Such as, argument order.
  • You can now convert coordinates to 125m meshcode. As a result, it became to support to all meshcodes.
  • Update Polygon Export Function (export_mesh)

jpmesh 0.4.0 (2017-09-01)

  • Using sf api.
  • Add new dataset.
    • jpnrect... Japan Prefecture Mesh Data.
    • prefecture_mesh
  • Enhanced CI and coverage environment (#5).
  • Fix some issues (#6).
  • Add new functions
    • pref_mesh() replicate to administration_mesh()
    • find_neighbor_mesh()... Find out neighborhood meshes.
    • mesh_rectangle()... Output mesh rectange.

jpmesh 0.3.0 (2016-11-12)

New Features

  • Mesh viewer as shiny gadgets (mesh_viewer()) #4
  • Export mesh rectangle as geojson (export_mesh()) #3

jpmesh 0.2.0

New Features

  • Added simple Japan grid datasets.

Improve Infrastructures

  • Making website by pkgdown.

jpmesh 0.1.0

  • Added a NEWS.md file to track changes to the package.
  • Added base functions.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("jpmesh")

1.1.3 by Shinya Uryu, 2 months ago


https://github.com/uribo/jpmesh#readme


Report a bug at https://github.com/uribo/jpmesh/issues


Browse source code at https://github.com/cran/jpmesh


Authors: Shinya Uryu [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports leaflet, miniUI, purrr, rlang, sf, shiny, tibble, units, magrittr

Suggests knitr, lwgeom, testthat, rmarkdown


Imported by jpndistrict.

Enhanced by NipponMap.


See at CRAN