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The polygon overlay problem in electoral geography
conference contribution
posted on 2023-05-23, 11:31 authored by Louvet, R, Jagannath Aryal, Josselin, D, Marchand-Lagier, C, Genre-Grandpierre, CWe developed an algorithm for reducing geometric differences between a source and a target dataset. The algorithm tackles the polygon overlay problem in electoral geography before using areal interpolation methods. Our results show that improvement in matching between statistical areas and polling areas can reduce up to 40% of areal interpolation errors. This is applied to two case studies: the city of Avignon, France, and the city of Hobart, Australia.
History
Publication title
Proceedings of Spatial Accuracy 2016Editors
J-S Bailly, D Griffith, and D JosselinPagination
67-73Department/School
School of Geography, Planning and Spatial SciencesPublisher
International Spatial Accuracy Research AssociationPlace of publication
Montpellier, FranceEvent title
Spatial Accuracy 2016Event Venue
Montpellier, FranceDate of Event (Start Date)
2016-07-05Date of Event (End Date)
2016-07-08Rights statement
Copyright unknownRepository Status
- Restricted
