Scale, Context, and Heterogeneity
A Spatial Analytical Perspective on the 2016 U.S. Presidential Election
Bibliographic Data
| ID | 7635008 |
|---|---|
| Authors | A Stewart Fotheringham (0000-0002-0407-1901, Arizona State University), Ziqi Li (0000-0002-6345-4347, University of Illinois Urbana-Champaign), Levi John Wolf (0000-0003-0274-599X, University of Bristol) |
| Year | 2021 |
| Pages | 1-20 |
| Publication date | 2021-01-11 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the American Association of Geographers (JOURNAL) |
| Journal identifiers | ISSN: 2469-4452 • E-ISSN: 2469-4460 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/24694452.2020.1835459 |
| OpenAlex | W3120822987 |
| Language | EN |
| Citations received | 22 |
| References cited | 50 |
This article attempts to identify and separate the role of spatial “context” in shaping voter preferences from the role of other socioeconomic determinants. It does this by calibrating a multiscale geographically weighted regression (MGWR) model of county-level data on percentages voting for the Democratic Party in the 2016 U.S. presidential election. This model yields information on both the spatially heterogeneous nature of the determinants of voter preferences and the geographical scale over which the effects of these determinants are relatively stable. The article, perhaps for the first time, is able to quantify the relative effects of context versus other effects on voter preferences and is able to demonstrate what would have happened in the 2016 election in two scenarios: (1) if context were irrelevant and (2) if every county had exactly the same population composition. In addition, the article sheds light on the nature of the determinants of voter choice in the 2016 U.S. presidential election and presents strong evidence that these determinants have spatially varying impacts on voter preferences
Cartography · Democracy · Econometrics · Economics · Geography · Political science · Politics · Population · Presidential election · Presidential system · Socioeconomic status · Sociology · Spatial contextual awareness · Voting · Computer Science · Demography · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies
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| Unique citing works | 22 |
|---|---|
| Citations per year | 4,4 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 13 |