A Raster Data Approach to Spatial Misalignment Problem

• In Event: Spatial Methods and Election Modeling

Brief Overview

This paper proposes a raster data approach to construct population density weights for mapping different geographies, which can be useful to correlate data from elections, economic activities, environment, and demographics.

Authors

• Le Bao, Georgetown University

• Michael A. Bailey, Georgetown University