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.
翻译:基于时空空间模型的不确定性估计、预测和洞察力的交流对于决策十分重要,因为它影响到信息的利用和解释。双轨图谱通常用于估算和相关不确定性的交流;然而,众所周知,符号的杂乱和显示维度之间随后相互作用所产生的不同视觉特性可能导致不同的解释,从而影响相应的决定。将要提供的数据的特征,如空间格式、统计水平和连续性,决定了现有的双轨制符号的范围。这些双轨制符号随后的效用取决于它们实现最终用户目标的能力。在本文件中,我们提出了一个新的设计框架,通过考虑输入数据特性和潜在操作任务(作为最终用户目标的替代),协助地图设计者适当选择双轨制符号,以便同时提出spatio-时空模型数据和相关不确定性。框架通过应用大堡礁沉积物污染案例研究加以展示。