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Uncertainty in mapped geological boundaries held by a national geological survey: eliciting the geologists' tacit error model

Lark, R.M.; Lawley, R.S.; Barron, A.J.M.; Aldiss, D.T.; Ambrose, K.; Cooper, A.H.; Lee, J.R.; Waters, C.N.. 2015 Uncertainty in mapped geological boundaries held by a national geological survey: eliciting the geologists' tacit error model. Solid Earth, 6 (2). 727-745. https://doi.org/10.5194/se-6-727-2015

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Abstract/Summary

It is generally accepted that geological line work, such as mapped boundaries, are uncertain for various reasons. It is difficult to quantify this uncertainty directly, because the investigation of error in a boundary at a single location may be costly and time consuming, and many such observations are needed to estimate an uncertainty model with confidence. However, it is recognized across many disciplines that experts generally have a tacit model of the uncertainty of information that they produce (interpretations, diagnoses, etc.) and formal methods exist to extract this model in usable form by elicitation. In this paper we report a trial in which uncertainty models for geological boundaries mapped by geologists of the British Geological Survey (BGS) in six geological scenarios were elicited from a group of five experienced BGS geologists. In five cases a consensus distribution was obtained, which reflected both the initial individually elicited distribution and a structured process of group discussion in which individuals revised their opinions. In a sixth case a consensus was not reached. This concerned a boundary between superficial deposits where the geometry of the contact is hard to visualize. The trial showed that the geologists' tacit model of uncertainty in mapped boundaries reflects factors in addition to the cartographic error usually treated by buffering line work or in written guidance on its application. It suggests that further application of elicitation, to scenarios at an appropriate level of generalization, could be useful to provide working error models for the application and interpretation of line work.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.5194/se-6-727-2015
ISSN: 1869-9529
Date made live: 24 Nov 2015 09:12 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/512293

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