Detecting spatial clusters in functional data: New scan statistic approaches - Ensai, Ecole Nationale de la Statistique et de l'Analyse de l'Information
Journal Articles Spatial Statistics Year : 2021

Detecting spatial clusters in functional data: New scan statistic approaches

Abstract

We have developed a scan statistic for detecting clusters of functional data indexed in space. The method is based on a distribution-free spatial scan statistic for univariate data. In a simulation study, it always performed better than a nonparametric functional scan statistic. The proposed method can detect smaller spatial clusters than the nonparametric method. Lastly, we used our scan statistic for functional data to search for spatial clusters of abnormal unemployment rates in France over the period 1998–2013 (divided into quarters).
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Dates and versions

hal-04521722 , version 1 (10-07-2024)

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Camille Frevent, Mohamed-Salem Ahmed, M. Marbac, Michaël Genin. Detecting spatial clusters in functional data: New scan statistic approaches. Spatial Statistics, 2021, Spatial Statistics, 46, pp.100550. ⟨10.1016/j.spasta.2021.100550⟩. ⟨hal-04521722⟩
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