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These functions will download redist_map and redist_plans objects for the Japan 47-Prefecture Simulation Project from the ALARM Project's Dataverse. alarm_japan_doc() will download documentation for a particular prefecture and show it in a browser. alarm_japan_stats will download just the summary statistics for a prefecture

Usage

alarm_japan_map(pref, year = 2022, refresh = FALSE)

alarm_japan_plans(
  pref,
  stats = TRUE,
  year = 2022,
  refresh = FALSE,
  compress = "xz"
)

alarm_japan_stats(pref, year = 2022, refresh = FALSE)

alarm_japan_doc(pref, year = 2022)

Arguments

pref

A prefecture name

year

The redistricting cycle to download. Currently only 2022 is available.

refresh

If TRUE, ignore the cache and download again.

stats

If TRUE (the default), download summary statistics for each plan.

compress

The compression level used for caching redist_plans objects.

Value

For alarm_japan_map(), a redist_map. For alarm_japan_plans(), a redist_plans. For alarm_japan_doc(), invisibly returns the path to the HTML documentation, and also loads an HTML file into the viewer or web browser. For alarm_japan_stats(), a tibble.

Details

The goal of the 47-Prefecture Simulation Project is to generate and analyze redistricting plans for the single-member districts of the House of Representatives of Japan using a redistricting simulation algorithm. In this project, we analyzed the partisan bias of the 2022 redistricting for 25 prefectures subject to redistricting. Our simulations are designed to comply with the that the Council abides by.

Examples

if (FALSE) { # Sys.getenv("DATAVERSE_KEY") != ""

# requires Harvard Dataverse API key
alarm_japan_map("miyagi")
alarm_japan_plans("miyagi", stats = FALSE)
alarm_japan_stats("miyagi")
alarm_japan_doc("miyagi")

map <- alarm_japan_map("miyagi")
pl <- alarm_japan_plans("miyagi")
}