Measuring the landscape of civil war

Evaluating geographic coding decisions with historic data from the Mau Mau rebellion

Bibliographic Data

ID3916283
AuthorsRex W Douglas, Rex W Douglass (Department of Political Science, University of California, San Diego), Kristen A Harkne (0000-0001-5882-3745, University of St Andrews, corresponding author), Kristen A Harkness (University of St Andrews)
Year2018
Volume55
Issue2
Pages190-205
Publication date2018-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Peace Research (JOURNAL)
Journal identifiersISSN: 0022-3433 • E-ISSN: 1460-3578
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022343318754959
OpenAlexW2785419874
LanguageEN
Citations received4
References cited46

Subnational conflict research increasingly utilizes georeferenced event datasets to understand contentious politics and violence. Yet, how exactly locations are mapped to particular geographies, especially from unstructured text sources such as newspaper reports and archival records, remains opaque and few best practices exist for guiding researchers through the subtle but consequential decisions made during geolocation. We begin to address this gap by developing a systematic approach to georeferencing that articulates the strategies available, empirically diagnoses problems of bias created by both the data generating process and researcher-controlled tasks, and provides new generalizable tools for simultaneously optimizing both the recovery and accuracy of coordinates. We then empirically evaluate our process and tools against new micro-level data on the Mau Mau rebellion (colonial Kenya 1952-60), drawn from 20,000 pages of recently declassified British military intelligence reports. By leveraging a subset of these data that includes map codes alongside natural language location descriptions, we demonstrate how inappropriately georeferencing data can have important downstream consequences in terms of systematically biasing coefficients or altering statistical significance and how our tools can help alleviate these problems

Big data · Computer security · Data mining · Data science · Event (particle physics) · Geography · Geolocation · Georeference · Newspaper · Political science · Process (computing) · Social media · Volunteered Geographic Information · World Wide Web · Computer Science · Law · Peacebuilding and International Security · Political Conflict and Governance

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Open DOISci-HubOpen Access