A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty
This addresses the challenge for map designers in improving the communication of uncertainty in spatio-temporal models, though it appears incremental as it builds on existing bivariate mapping methods.
The paper tackles the problem of selecting appropriate bivariate symbols for communicating spatio-temporal model estimates and uncertainty, which affects decision-making, by presenting a novel design framework that considers data characteristics and user tasks, demonstrated through a case study on sediment pollution in the Great Barrier Reef.
The communication of uncertainty estimates, predictions and insights based on spatio-temporal models is important for decision-making as it impacts the utilisation and interpretation of information. Bivariate mapping is commonly used for communication of estimates and associated uncertainty; however, it is known that different visual qualities resulting from choics of symbols and consequent interaction between the display dimensions can lead to different interpretations and consequently affect resultant decisions. Characteristics of the data to be presented, such as spatial format, statistical level and continuousness, shape the range of available bivairate symbols. The subsequent utility of these bivariate symbols depends on their ability to achieve end-user's goals. In this paper we present a novel design framework, which, through consideration of both input data characteristics and potential operational tasks (as proxy to end-user goals), assists map designers in appropriate selection of bivariate symbols for the coincident presentation of spatio-temporal modelled data and associated uncertainty. The framework is showcased through application to a case study pertaining to sediment pollution in the Great Barrier Reef.