The polygon overlay problem in electoral geography

Abstract : We developed an algorithm for reducing geometric differences between source and target dataset. The algorithm tackles the polygon overlay problem in electoral geography before using areal in- terpolation methods. Our results show that improvement in matching between statistical areas and polling areas can reduce up to half of areal interpolation errors, therefore improving the robustness of analysis of electoral behaviour in their spatial context. This is applied to two case studies: the city of Avignon, France, and the city of Hobart, Australia.
Type de document :
Communication dans un congrès
Spatial Accuracy'2016, Jul 2016, Montpellier, France. Proceedings of Spatial Accuracy'2016
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https://hal.archives-ouvertes.fr/hal-01338084
Contributeur : Didier Josselin <>
Soumis le : lundi 27 juin 2016 - 18:26:44
Dernière modification le : lundi 25 septembre 2017 - 09:47:04

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  • HAL Id : hal-01338084, version 1

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Romain Louvet, Jagannath Aryal, Didier Josselin, Christèle Marchand-Lagier, Cyrille Genre-Grandpierre. The polygon overlay problem in electoral geography. Spatial Accuracy'2016, Jul 2016, Montpellier, France. Proceedings of Spatial Accuracy'2016. 〈hal-01338084〉

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