IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4614-8033-4_62.html
   My bibliography  Save this book chapter

Spatial Scan Statistics for Functional Data

In: Handbook of Scan Statistics

Author

Listed:
  • Mohamed-Salem Ahmed

    (ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, Univ. Lille, CHU Lille)

  • Camille Frévent

    (ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, Univ. Lille, CHU Lille)

  • Michaël Génin

    (ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, Univ. Lille, CHU Lille)

Abstract

In this chapter, we propose a review of spatial scan statistics methods for functional data. These are defined by spatial locations within which longitudinal observations are made. Several methods of spatial scan statistics are presented in the context of univariate and multivariate functional data. Compared to univariate and multivariate spatial scan statistics, these methods have the advantage of considering the whole data while overcoming the problem of high dimensionality and multicollinearity. These methods are illustrated through an application to the detection of environmental black spots of multiple air pollution in France.

Suggested Citation

  • Mohamed-Salem Ahmed & Camille Frévent & Michaël Génin, 2024. "Spatial Scan Statistics for Functional Data," Springer Books, in: Joseph Glaz & Markos V. Koutras (ed.), Handbook of Scan Statistics, chapter 32, pages 629-645, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-8033-4_62
    DOI: 10.1007/978-1-4614-8033-4_62
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4614-8033-4_62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.