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    Some thoughts on inference in the analysis of spatial data


    Fotheringham, Stewart and Brunsdon, Chris (2004) Some thoughts on inference in the analysis of spatial data. International Journal of Geographical Information Science, 18 (5). pp. 447-457. ISSN 1365-8816

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    Abstract

    Statistical inference is important for all those who engage in the analysis of spatial data. The issue is becoming increasingly important given the explosion in the availability of spatial data and the proliferation of Geographic Information Systems (GIS) across different academic disciplines and application areas. The aim of this paper is to provide a brief overview of some of the concepts and controversies inherent in statistical inference in the hope of raising the level of awareness within the geographic information science community that different points of view exist when it comes to inference. We argue that the concept of statistical inference in spatial data analysis and spatial modelling is perhaps broader than many GIS users imagine. In particular, we argue that different types of inference exist and that process inference is just as valid as sample inference, even though the latter appears to dominate the GIS literature.

    Item Type: Article
    Keywords: inference; spatial data;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 6155
    Identification Number: https://doi.org/10.1080/13658810410001658065
    Depositing User: Prof. Chris Brunsdon
    Date Deposited: 26 May 2015 16:34
    Journal or Publication Title: International Journal of Geographical Information Science
    Publisher: Taylor & Francis
    Refereed: Yes
    URI:

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