Download maps and plans from the 50-State Simulation ProjectSource:
These functions will download redist_map and
redist_plans objects for the 50-State Simulation
Project from the ALARM Project's Dataverse.
download documentation for a particular state and show it in a browser.
alarm_50state_stats will download just the summary statistics for a state.
alarm_50state_map(state, year = 2020, refresh = FALSE) alarm_50state_plans( state, stats = TRUE, year = 2020, refresh = FALSE, compress = "xz" ) alarm_50state_stats(state, year = 2020, refresh = FALSE) alarm_50state_doc(state, year = 2020)
A state name, abbreviation, FIPS code, or ANSI code.
The redistricting cycle to download. Currently only
TRUE, ignore the cache and download again.
TRUE(the default), download summary statistics for each plan.
The compression level used for caching redist_plans objects.
alarm_50state_map(), a redist_map. For
alarm_50state_plans(), a redist_plans. For
alarm_50state_doc(), invisibly returns the path to the HTML documentation,
and also loads an HTML file into the viewer or web browser.
alarm_50state_stats(), a tibble.
Every decade following the Census, states and municipalities must redraw districts for Congress, state houses, city councils, and more. The goal of the 50-State Simulation Project is to enable researchers, practitioners, and the general public to use cutting-edge redistricting simulation analysis to evaluate enacted congressional districts.
Evaluating a redistricting plan requires analysts to take into account each state’s redistricting rules and particular political geography. Comparing the partisan bias of a plan for Texas with the bias of a plan for New York, for example, is likely misleading. Comparing a state’s current plan to a past plan is also problematic because of demographic and political changes over time. Redistricting simulations generate an ensemble of alternative redistricting plans within a given state which are tailored to its redistricting rules. Unlike traditional evaluation methods, therefore, simulations are able to directly account for the state’s political geography and redistricting criteria.