geometric voting

Geometric voting models voters’ choices as points in a multi-dimensional space, where each dimension represents a different issue or policy preference. Candidates are also represented as points in this same space. Voters select the candidate whose position is closest to their own, based on a distance measure like Euclidean distance. This approach captures how voters weigh multiple issues simultaneously and prefer candidates that most closely align with their overall preferences. It’s a way to analyze elections considering many factors at once, rather than just a single issue, providing insights into strategic behavior and candidate positioning.