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Di Salvatore, Jessica and Ruggeri, Andrea (2021) Spatial analysis for political scientists. Italian Political Science Review . (In Press)
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WRAP-spatial-analysis-political-scientists-Di-Salvatore-2021 .pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1382Kb) | Preview |
Abstract
How does space matter in our analysis? Is space just about geography? How can we evaluate diffusion or interdependence between units? How biased can be our analysis if we do not consider spatial clustering? All above questions are critical theoretical and empirical issues for political scientists belonging to several subfields from Electoral Studies, passing to Comparative Politics, and also for International Relations. In this special issue on methods, our article introduces political scientists to conceptualizing interdependence between units and how to empirically model these interdependencies using spatial regression. First, the article presents the building blocks of any feature of spatial data (points, polygons, raster) and the task of georeferencing. Second, the article discusses what is an interdependence matrix (W), its importance and variations. Third, the article introduces how to investigate spatial clustering trough visualizations (e.g., maps) but also statistical tests (e.g., Moran’s Index). Finally, the article explains how to analyse data with geographic interdependences, but also non-geographic spatial interdependencies, using spatial error and spatial lags models. We conclude inviting researchers to carefully consider space in their analysis and reflect on the need (and lack of thereof) for spatial models.
| Item Type: | Journal Article | ||||||
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| Subjects: | H Social Sciences > HA Statistics J Political Science > JA Political science (General) J Political Science > JC Political theory |
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| Divisions: | Faculty of Social Sciences > Politics and International Studies | ||||||
| Library of Congress Subject Headings (LCSH): | Political science -- Research -- Methodology, Political scientists , Spatial analysis (Statistics) | ||||||
| Journal or Publication Title: | Italian Political Science Review | ||||||
| Publisher: | Cambridge University Press | ||||||
| ISSN: | 0048-8402 | ||||||
| Official Date: | 2021 | ||||||
| Dates: |
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| Date of first compliant deposit: | 9 February 2021 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Publisher Statement: | This article has been accepted for publication in a revised form for publication in Italian Political Science Review This version is published under a Creative Commons CC-BY-NC-ND. No commercial re-distribution or re-use allowed. Derivative works cannot be distributed. © Cambridge University Press 2021 | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
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