English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Redistricting is the process by which electoral district boundaries aredrawn, and a common normative assumption in this process is that districtsshould be drawn so as to capture coherent communities of interest (COIs). Whilestates rely on various proxies for community illustration, such as compactnessmetrics and municipal split counts, to guide redistricting, recent legalchallenges and scholarly works have shown the failings of such proxy measuresand the difficulty of balancing multiple criteria in district plan creation. Toaddress these issues, we propose the use of spatial interaction communities todirectly quantify the degree to which districts capture the underlying COIs.Using large-scale human mobility flow data, we condense spatial interactioncommunity capture for a set of districts into a single number, the interactionratio (IR), which can be used for redistricting plan evaluation. To compare theIR to traditional redistricting criteria (compactness and fairness), and toexplore the range of IR values found in valid districting plans, we employ aMarkov chain-based regionalization algorithm (ReCom) to produce ensembles ofvalid plans, and calculate the degree to which they capture spatial interactioncommunities. Furthermore, we propose two methods for biasing the ReComalgorithm towards different IR values. We perform a multi-criteria assessmentof the space of valid maps, and present the results in an interactive web map.The experiments on Wisconsin congressional districting plans demonstrate theeffectiveness of our methods for biasing sampling towards higher or lower IRvalues. Furthermore, the analysis of the districts produced with these methodssuggests that districts with higher IR and compactness values tend to producedistrict plans that are more proportional with regards to seats allocated toeach of the two major parties.

Bringing Spatial Interaction Measures into Multi-Criteria Assessment of Redistricting Plans Using Interactive Web Mapping