Graphics for uncertainty

Bowman, A. W. (2019) Graphics for uncertainty. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182(2), pp. 403-418. (doi:10.1111/rssa.12379)

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Abstract

Graphical methods such as colour shading and animation, which are widely available, can be very effective in communicating uncertainty. In particular, the idea of a ‘density strip’ provides a conceptually simple representation of a distribution and this is explored in a variety of settings, including a comparison of means, regression and models for contingency tables. Animation is also a very useful device for exploring uncertainty and this is explored particularly in the context of flexible models, expressed in curves and surfaces whose structure is of particular interest. Animation can further provide a helpful mechanism for exploring data in several dimensions. This is explored in the simple but very important setting of spatiotemporal data.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Bowman, Professor Adrian
Authors: Bowman, A. W.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Journal of the Royal Statistical Society: Series A (Statistics in Society)
Publisher:Wiley
ISSN:0964-1998
ISSN (Online):1467-985X
Published Online:15 January 2019
Copyright Holders:Copyright © 2019 The Author
First Published:First published in Journal of the Royal Statistical Society: Series A (Statistics in Society) 182(2): 403-418
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
651921Urban Big Data Research CentrePiyushimita ThakuriahEconomic and Social Research Council (ESRC)ES/L011921/1SPS - URBAN STUDIES