Decisions, uncertainty and spatial information

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