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Communicating uncertainties in spatial predictions of grain micronutrient concentration

Chagumaira, Christopher; Chimungu, Joseph G.; Gashu, Dawd; Nalivata, Patson C.; Broadley, Martin R.; Milne, Alice E.; Lark, R. Murray

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Authors

Christopher Chagumaira

Joseph G. Chimungu

Dawd Gashu

Patson C. Nalivata

Alice E. Milne

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MURRAY LARK MURRAY.LARK@NOTTINGHAM.AC.UK
Professor of Geoinformatics



Abstract

The concentration of micronutrients in staple crops varies spatially. Quantitative information about this can help in designing efficient interventions to address micronutrient deficiency. Concentration of a micronutrient in a staple crop can be mapped from limited samples, but the resulting statistical predictions are uncertain. Decision makers must understand this uncertainty to make robust use of spatial information, but this is a challenge due to the difficulties in communicating quantitative concepts to a general audience. We proposed strategies to communicate uncertain information and present a systematic evaluation and comparison in the form of maps. We proposed testing five methods to communicate the uncertainty about the conditional mean grain concentration of an essential micronutrient, selenium (Se). Evaluation of the communication methods was done through a questionnaire by eliciting stakeholder opinions about the usefulness of the methods of communicating uncertainty. We found significant differences in how participants responded to the different methods. In particular, there was a preference for methods based on the probability that concentrations are below or above a nutritionally significant threshold compared with general measures of uncertainty such as the prediction interval. There was no evidence that methods which used pictographs or calibrated verbal phrases to support the interpretation of probabilities made a different impression than probability alone, as judged from the responses to interpretative questions, although these approaches were ranked most highly when participants were asked to put the methods in order of preference.

Journal Article Type Article
Acceptance Date Mar 22, 2021
Online Publication Date Apr 29, 2021
Publication Date Apr 29, 2021
Deposit Date May 5, 2021
Publicly Available Date May 5, 2021
Journal Geoscience Communication
Print ISSN 2569-7102
Electronic ISSN 2569-7110
Publisher Copernicus Publications
Peer Reviewed Peer Reviewed
Volume 4
Issue 2
Pages 245-265
DOI https://doi.org/10.5194/gc-4-245-2021
Public URL https://nottingham-repository.worktribe.com/output/5509680
Publisher URL https://gc.copernicus.org/articles/4/245/2021/

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