Spatial Analysis of the 2020 Presidential Election

Authors: John Heppen*, University of Wisconsin, River Falls
Topics: Political Geography, Spatial Analysis & Modeling, United States
Keywords: Electoral Geography, Presidential Elections, Donald Trump
Session Type: Virtual Poster
Day: 4/10/2021
Start / End Time: 1:30 PM / 2:45 PM
Room: Virtual 20
Presentation File: No File Uploaded

The 2020 Presidential Election presented evidence that despite the reversal from 2016 electoral and spatial patterns remained consistent from the most recent elections of this last 20 years. Moran's I analysis at the state-level present a case for a consistent level of spatial autocorrelation since the 1996 in presidential elections. Spatial analysis at the county-level from 2012 present similar consistently. At the writing of this abstract complete analysis of the 2020 elections is in progress. Preliminary results show that the country remains in a red-blue dichotomy but with hints of changes in suburban counties and emerging hot spots and cold spots at the county-level due to increased voter participation and changing voter preference.

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