Sezioni Elettorali Italiane (SEI): a new database of Italian electoral results geocoded at precinct level

References

• Agnew, J. 1996. “Mapping Politics: How Context Counts in Electoral Geography.” Political Geography 15 (2): 129–146.
   Web of Science ®Google Scholar
• Alabrese, E., S. O. Becker, T. Fetzer, and D. Novy. 2019. “Who Voted for Brexit? Individual and Regional Data Combined.” European Journal of Political Economy 56: 132–150.
   Web of Science ®Google Scholar
• Amos, B., M. P. McDonald, and R. Watkins. 2017a. “When Boundaries Collide.” Public Opinion Quarterly 81 (S1): 385–400.
   Google Scholar
• Amos, B., D. A. Smith, and C. S. Claire. 2017b. “Reprecincting and Voting Behavior.” Political Behavior 39 (1): 133–156.
   Web of Science ®Google Scholar
• Baltz, S., A. Agadjanian, D. Chin, J. Curiel, K. DeLuca, J. Dunham, J. Miranda, et al. 2022. “American Election Results at the Precinct Level.” Scientific Data 9 (1): 1–12.
   PubMed Web of Science ®Google Scholar
• Beck, N., K. S. Gleditsch, and K. Beardsley. 2006. “Space is More than Geography: Using Spatial Econometrics in the Study of Political Economy.” International Studies Quarterly 50 (1): 27–44.
   Web of Science ®Google Scholar
• Bernstein, R., A. Chadha, and R. Montjoy. 2001. “Overreporting Voting.” Public Opinion Quarterly 65 (1): 22–44.
   PubMed Web of Science ®Google Scholar
• Bivand, R. S., E. J. Pebesma, V. Gómez-Rubio, and E. J. Pebesma. 2008. Applied Spatial Data Analysis with R. New York: Springer.
   Google Scholar
• Bochsler, D. 2010. “Measuring Party Nationalisation: A new Gini-Based Indicator That Corrects for the Number of Units.” Electoral Studies 29 (1): 155–168.
   Web of Science ®Google Scholar
• Burrough, P. A., R. A. McDonnell, and C. D. Lloyd. 2015. Principles of Geographical Information Systems. Oxford: Oxford university press.
   Google Scholar
• Cini, L., P. Colloca, N. Maggini, F. Tomassi, and M. Valbruzzi. 2021. “Inchiesta su periferie urbane, disagio socio-economico e voto. I casi di Bologna, Firenze e Roma.” Quaderni Di Scienza Politica 28 (2): 137–177.
   Google Scholar
• Commissione Collegi Elettorali. 2020. Proposta dei collegi uninominali e plurinominali per la Camera dei deputati e il Senato della Repubblica. http://www.riformeistituzionali.gov.it/media/1364/commissione-collegi-elettorali_relazione_13-novembre-2020-con-errata-corrige.pdf.
   Google Scholar
• Corbetta, P., and M. S. Piretti. 2009. Atlante Storico-Elettorale D’Italia: 1861-2008. Bologna: Zanichelli.
   Google Scholar
• Crulli, M. 2022. Vote Metropolitanization After the Transnational Cleavage and the Suburbanization of Radical Right Populism: The Cases of London and Rome. Quaderni Dell’Osservatorio Elettorale QOE-IJES 85.1: 3–21.
   Google Scholar
• D’albergo, L. 2022, September 26. Il Pd va sotto anche nel centro storico di Roma. Non era mai successo: “Non siamo più il partito della Ztl.” La Repubblica. https://roma.repubblica.it/cronaca/2022/09/26/news/pd_roma_centro_storico_ztl_sconfitta-367334149/.
   Google Scholar
• Darmofal, D. 2015. Spatial Analysis for the Social Sciences. New York: Cambridge University Press.
   Google Scholar
• Dell’Interno, M. 2021. Eligendo. https://elezioni.interno.gov.it/.
   Google Scholar
• Dijkstra, L., H. Poelman, and A. Rodríguez-Pose. 2020. “The Geography of EU Discontent.” Regional Studies 54 (6): 737–753.
   Web of Science ®Google Scholar
• Domani, E. 2022. Il Pd resta chiuso in una Ztl sempre più stretta. Domani. https://www.editorialedomani.it/politica/italia/il-pd-resta-chiuso-in-una-ztl-sempre-piu-stretta-uvfs78pu.
   Google Scholar
• Emanuele, V. 2018. Cleavages, Institutions, and Competition: Understanding Vote Nationalization in Western Europe (1965-2015). Washington DC: Rowman & Littlefield.
   Google Scholar
• Ferrara, E. 2018. PD, OVVERO IL PARTITO DELLE ZTL. https://ricerca.repubblica.it/repubblica/archivio/repubblica/2018/06/27/pd-ovvero-il-partito-delle-ztlFirenze01.html.
   Google Scholar
• Johnston, R., D. Manley, and K. Jones. 2016. “Spatial Polarization of Presidential Voting in the United States, 1992–2012: The “Big Sort” Revisited.” Annals of the American Association of Geographers 106 (5): 1047–1062.
   Web of Science ®Google Scholar
• Kinsella, C., C. McTague, and K. N. Raleigh. 2015. “Unmasking Geographic Polarization and Clustering: A Micro-Scalar Analysis of Partisan Voting Behavior.” Applied Geography 62: 404–419.
   Web of Science ®Google Scholar
• Kollman, K., A. Hicken, D. Caramani, D. Backer, and D. Lublin. 2019. Constituency-Level Elections Archive (CLEA)(Data File and Codebook). Ann Arbor, MI: Center for Political Studies, University of Michigan (Producer and Distributor). Available at: http://www.Electiondataarchive.Org.
   Google Scholar
• Lelo, K., S. Monni, and F. Tomassi. 2021. Le mappe della disuguaglianza: una geografia sociale metropolitana. Roma: Donzelli Editore.
   Google Scholar
• Mobasheri, A., H. Mitasova, M. Neteler, A. Singleton, H. Ledoux, and M. A. Brovelli. 2020. “Highlighting Recent Trends in Open Source Geospatial Science and Software.” Transactions in GIS 24 (5): 1141–1146. Wiley Online Library.
   Web of Science ®Google Scholar
• Moran, P. A. 1950. “Notes on Continuous Stochastic Phenomena.” Biometrika 37 (1/2): 17–23.
   PubMed Web of Science ®Google Scholar
• Pratschke, J., T. Vitale, N. Morelli, B. Cousin, M. Piolatto, and M. Del Fabbro. 2021. “Electoral Support for the 5 Star Movement in Milan: An Ecological Analysis of Social and Spatial Factors.” Journal of Urban Affairs 43: 1–24.
   Google Scholar
• Robinson, W. S. 2009. “Ecological Correlations and the Behavior of Individuals.” International Journal of Epidemiology 38 (2): 337–341.
   PubMed Web of Science ®Google Scholar
• Russo, L. 2017. “The use of Aggregate Data in the Study of Voting Behavior: Ecological Inference, Ecological Fallacy and Other Applications.” In The Routledge Handbook of Elections, Voting Behaviorand Public Opinion, edited by Justin Fisher, Edward Fieldhouse, Mark N. Franklin, Rachel Gibson, Marta Cantijoch, and Christopher Wlezien, 484–495. London: Routledge.
   Google Scholar
• Schwartz, S. 1994. “The Fallacy of the Ecological Fallacy: The Potential Misuse of a Concept and the Consequences.” American Journal of Public Health 84 (5): 819–824.
   PubMed Web of Science ®Google Scholar
• Selb, P., and S. Munzert. 2013. “Voter Overrepresentation, Vote Misreporting, and Turnout Bias in Postelection Surveys.” Electoral Studies 32 (1): 186–196.
   Web of Science ®Google Scholar
• Sinton, D. S., and J. J. Lund. 2007. Understanding Place: Gis and Mapping Across the Curriculum. Redlands, CA: ESRI, Inc.
   Google Scholar
• Truglia, F. G., D. Fruncillo, and F. Addeo. 2018. “Territorializzazione del consenso elettorale: Determinati spaziali, socio-economiche e culturali.” Fruncillo e Addeo (a Cura Di) Le Elezioni del 2018 1: 83–111.
   Google Scholar
• Valbruzzi, M. 2021. Comportamento Elettorale e Disagio Sociale Nelle Città Italiane. Bologna: Il Mulino.
   Google Scholar
• Voting and Election Science Team. 2020. 2020 Precinct-Level Election Results. Harvard Dataverse.
   Google Scholar
• Walks, R. A. 2005. “City–Suburban Electoral Polarization in Great Britain, 1950–2001.” Transactions of the Institute of British Geographers 30 (4): 500–517.
   Web of Science ®Google Scholar
• Weidmann, N. B., and S. Schutte. 2017. “Using Night Light Emissions for the Prediction of Local Wealth.” Journal of Peace Research 54 (2): 125–140.
   Web of Science ®Google Scholar
• Willis, D., T. Merivaki, and I. Ziogas. 2021. “Election Data Transparency: Obtaining Precinct-Level Election Returns.” Public Integrity 24(2): 1–16.
   Web of Science ®Google Scholar
• Zurlo, S. 2022, https://www.ilgiornale.it/news/politica/pd-partito-ztl-ormai-fuori-realt-2070351.html “il pd è il Partito Della ztl, Ormai Fuori Dalla Realtà.” In IlGiornale.it.
   Google Scholar