IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v2y2000i3d10.1007_pl00011458.html
   My bibliography  Save this article

Designing and implementing software for spatial statistical analysis in a GIS environment

Author

Listed:
  • Robert Haining

    (Department of Geography, Sheffield Centre for Geographic Information and Spatial Analysis, University of Sheffield, UK (e-mail: R.Haining@Sheffield.ac.uk))

  • Stephen Wise

    (Department of Geography, Sheffield Centre for Geographic Information and Spatial Analysis, University of Sheffield, UK (e-mail: R.Haining@Sheffield.ac.uk))

  • Jingsheng Ma

    (Department of Geography, Sheffield Centre for Geographic Information and Spatial Analysis, University of Sheffield, UK (e-mail: R.Haining@Sheffield.ac.uk))

Abstract

. This paper provides a description of SAGE, a software package linked to the Arc/Info GIS that can be used to undertake spatial statistical analysis of area based data. The paper is written from the perspective of the user who wishes to undertake exploratory and confirmatory spatial data analysis. The paper discusses design aspects of the package and also the statistical analysis philosophy underlying its contents. The paper describes the statistical analyses which SAGE can perform and details on how it performs them together with some illustrative examples. Detail on visualisation aspects of SAGE are discussed in a separate paper (Haining et al. 2000). The wider contribution of the paper is to build on earlier developments in this area and identify the needs of software packages if they are to enable users to implement effective spatial statistical analysis.

Suggested Citation

  • Robert Haining & Stephen Wise & Jingsheng Ma, 2000. "Designing and implementing software for spatial statistical analysis in a GIS environment," Journal of Geographical Systems, Springer, vol. 2(3), pages 257-286, September.
    • Handle: RePEc:kap:jgeosy:v:2:y:2000:i:3:d:10.1007_pl00011458
    DOI: 10.1007/PL00011458
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/PL00011458
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/PL00011458?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Massimo Craglia & Robert Haining & Paola Signoretta, 2001. "Modelling High-intensity Crime Areas in English Cities," Urban Studies, Urban Studies Journal Limited, vol. 38(11), pages 1921-1941, October.
    2. Kifayat Ullah & M. Tariq Majeed & Ghulam Mustafa, 2020. "Exploring Spatial Patterns and Determinants of Poverty: New Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 59(3), pages 439-459.
    3. Pablo Quintana, 2022. "Una metodología de clustering para agrupar series temporales en regiones contiguas," Asociación Argentina de Economía Política: Working Papers 4589, Asociación Argentina de Economía Política.
    4. Ángeles Sánchez & Jorge Chica-Olmo & Juan de Dios Jiménez-Aguilera, 2018. "A Space–Time Study for Mapping Quality of Life in Andalusia During the Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 699-728, January.
    5. Elizabeth Mack & Yifan Zhang & Sergio Rey & Ross Maciejewski, 2014. "Spatio-temporal analysis of industrial composition with IVIID: an interactive visual analytics interface for industrial diversity," Journal of Geographical Systems, Springer, vol. 16(2), pages 183-209, April.
    6. Pablo Aníbal Quintana, 2021. "Métodos de clustering espacialmente restringidos: Un análisis al agrupamiento por nivel de estudio en la provincia de Mendoza," Asociación Argentina de Economía Política: Working Papers 4510, Asociación Argentina de Economía Política.

    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:kap:jgeosy:v:2:y:2000:i:3:d:10.1007_pl00011458. 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.