Decisions, uncertainty and spatial information

A - Papers appearing in refereed journals

Lark, R. M., Chagumaira, C. and Milne, A. E. 2022. Decisions, uncertainty and spatial information. Spatial Statistics. 50, p. 100619.

AuthorsLark, R. M., Chagumaira, C. and Milne, A. E.

In this paper we review how the uncertainty in spatial information has been characterized. This includes both continuous predictions of spatial variables, and thematic maps of landcover classes. We contend that much work in this area has failed to engage adequately with the decision processes of the end-user of information, and that the engagement of spatial statisticians is essential to achieve this. We examine generalized measures of uncertainty, and those focussed on particular decision models. We conclude that the latter are likely to be the most fruitful, particularly if they emerge from a formal decision analysis. We outline the principles of value of information theory, and suggest that this represents an ideal framework in which to develop measures of uncertainty which can support both the rational collection of data and the interpretation of the resulting information.

KeywordsUncertainty; Decision theory; Spatial information; Value of information
Year of Publication2022
JournalSpatial Statistics
Journal citation50, p. 100619
Digital Object Identifier (DOI)
Web address (URL)
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Publisher's version
Output statusPublished
Publication dates
Online31 Jan 2022
Publication process dates
Accepted20 Jan 2022
PublisherElsevier Sci Ltd

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