IDEAS home Printed from https://ideas.repec.org/a/hin/jnljps/1328265.html
   My bibliography  Save this article

Applications of Robust Methods in Spatial Analysis

Author

Listed:
  • Selvakkadunko Selvaratnam
  • Muhammad Ahsan

Abstract

Spatial data analysis provides valuable information to the government as well as companies. The rapid improvement of modern technology with a geographic information system (GIS) can lead to the collection and storage of more spatial data. We developed algorithms to choose optimal locations from those permanently in a space for an efficient spatial data analysis. Distances between neighboring permanent locations are not necessary to be equispaced distances. Robust and sequential methods were used to develop algorithms for design construction. The constructed designs are robust against misspecified regression responses and variance/covariance structures of responses. The proposed method can be extended for future works of image analysis which includes 3 dimensional image analysis.

Suggested Citation

  • Selvakkadunko Selvaratnam & Muhammad Ahsan, 2023. "Applications of Robust Methods in Spatial Analysis," Journal of Probability and Statistics, Hindawi, vol. 2023, pages 1-10, May.
    • Handle: RePEc:hin:jnljps:1328265
    DOI: 10.1155/2023/1328265
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/jps/2023/1328265.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/jps/2023/1328265.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2023/1328265?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:hin:jnljps:1328265. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.