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Geographic Information Systems and the Spatial Dimensions of American Politics

Bibliographic Data

ID6233129
AuthorsWendy K Tam Cho (0000-0003-3042-8983, Departments of Political Science and Statistics, and National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801), James G Gimpel (0000-0002-1656-4156, Department of Political Science, University of Maryland, College Park, Maryland 20742)
Year2012
Volume15
Issue1
Pages443-460
Publication date2012-06-15
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnual Review of Political Science (BOOK_SERIES)
Journal identifiersISSN: 1094-2939 • E-ISSN: 1545-1577
PublisherAnnual Reviews (PUBLISHER • US)
DOI10.1146/annurev-polisci-031710-112215
OpenAlexW2156074379
LanguageEN
Citations received20
References cited59

In research on American politics, the use of geographic information systems (GIS) is most often thought of in connection with redistricting and the study of election results. In the past ten years, political scientists have realized that GIS can help them address many research questions and data analysis tasks quite apart from these traditional applications. These include the analysis of point patterns and the detection of clustering; the study of diffusion of influence; and the measurement of spatial relationships involving key constructs such as proximity and distance, flow, and interaction. GIS tools also prove to be the exploratory complements to the suite of tools being used in spatial econometrics to test explicit hypotheses about the impact of geography and spatial arrangement on political outcomes

Cartography · Cluster analysis · Computer security · Data science · Econometrics · Economic geography · Economics · Geographic information system · Geography · Gerrymandering · Information flow · Key (lock · Political science · Politics · Redistricting · Regional science · Spatial analysis · Spatial econometrics · Suite · Computer Science · Electoral Systems and Political Participation · Law · Policy Transfer and Learning · Spatial and Panel Data Analysis

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Unique citing works20
Citations per year1,82
Citation span2015 - 2025 (11)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 20

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