Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Spatial analysis for political scientists

Tools
- Tools
+ Tools

Di Salvatore, Jessica and Ruggeri, Andrea (2021) Spatial analysis for political scientists. Italian Political Science Review, 51 (2). pp. 198-214. doi:10.1017/ipo.2021.7 ISSN 0048-8402 .

[img]
Preview
PDF
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
Official URL: https://doi.org/10.1017/ipo.2021.7

Request Changes to record.

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
Subjects: H Social Sciences > HA Statistics
J Political Science > JA Political science (General)
J Political Science > JC Political theory
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: July 2021
Dates:
DateEvent
July 2021Published
11 May 2021Available
27 January 2021Accepted
Volume: 51
Number: 2
Page Range: pp. 198-214
DOI: 10.1017/ipo.2021.7
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): 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
Copyright Holders: Copyright © The Author(s), 2021
Date of first compliant deposit: 9 February 2021
Date of first compliant Open Access: 9 February 2021
Is Part Of: 1
Related URLs:
  • Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us