Articles | Volume 8, issue 4
https://doi.org/10.5194/gc-8-267-2025
https://doi.org/10.5194/gc-8-267-2025
Research article
 | 
10 Oct 2025
Research article |  | 10 Oct 2025

Communicating expected uncertainty in a geostatistical survey to support co-design with users of information

Christopher Chagumaira, Joseph G. Chimungu, Patson C. Nalivata, Martin R. Broadley, Alice E. Milne, and Richard Murray Lark

Data sets

Cereal grain mineral micronutrient and soil chemistry data from GeoNutrition surveys in Ethiopia and Malawi Kumssa et al. https://doi.org/10.6084/m9.figshare.15911973.v1

Model code and software

Data and Code for Chagumaira et al. ``Communicating expected uncertainty in a geostatistical survey'' Chagumaira et~al. https://doi.org/10.6084/m9.figshare.30198412.v1

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Short summary
Our study is concerned with how uncertainty in spatial information about environmental variables can be communicated to stakeholders to make decisions about sampling whilst also considering the trade-off between sampling effort and reducing uncertainty. We tested four approaches that relate sampling density and uncertainty by eliciting the opinions of end-users. End-users preferred the method not directly linked to decision-making. More work is needed to develop and elucidate decision-specific approaches.
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