Guidelines on Areal Interpolation Methods

Do Van Huyen (), Thibault Laurent () and Anne Vanhems ()
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Do Van Huyen: Toulouse School of Economics, CNRS, University of Toulouse, Independent researcher
Thibault Laurent: Toulouse School of Economics, CNRS, University of Toulouse
Anne Vanhems: TBS Business School

A chapter in Advances in Contemporary Statistics and Econometrics, 2021, pp 385-407 from Springer

Abstract: Abstract The objective of this article is to delve deeper into the understanding and practical implementation of classical areal interpolation methods using R software. Based on a survey paper from Do et al. (Spat Stat 14:412–438, 2015), we focus on four classical methods used in the area-to-area interpolation problem: point-in-polygon, areal weighting interpolation, dasymetric method with auxiliary variable and dasymetric method with control zones. Using the departmental election database for Toulouse in 2015, we find that the point-in-polygon method can be applied if the sources are much smaller than the targets; the areal interpolation method provides good results if the variable of interest is related to the area, but otherwise, a good alternative is to use the dasymetric method with another auxiliary variable; and finally, the dasymetric method with control zones allows us to benefit from both areal interpolation and dasymetric method and, from that perspective, seems to be the best method.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-73249-3_20

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DOI: 10.1007/978-3-030-73249-3_20

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