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:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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