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REPRESENTING UNCERTAINTY IN VISUALISATIONS OF FUTURE LANDSCAPES

机译:代表未来景观的可视化的不确定性

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The use of computer-based visualisations to depict landscape futures is increasingly common in environmental decision-making, particularly where information must be communicated to a wide and non-expert audience. Continuing technological development makes it possible to use real-world data as a base for such visualisations, with modifications made to the landscape data as appropriate depending on the scenario to be illustrated. The effects of factors such as the level of realism in the images produced and the capability for viewer interaction with the scene are beginning to be addressed by researchers, but relatively little attention has been given to the representation of uncertainty. The complexity of environmental systems means that uncertainty always exists to some degree when illustrating possible or proposed future states for any landscape, and it is essential that this be communicated to stakeholders, decision-makers and other audiences. Cartographic techniques exist and have been used to illustrate error and other quality issues relating to spatial data, but there has been no large-scale application to landscape visualisation. Options for communicating levels of uncertainty are being explored using a study area in Norfolk, in the eastern part of the UK. This work first considers sources of uncertainty; it then moves on to examine various illustration methods in terms of technical feasibility and data needs as well as audience reaction and perception. In helping visualisation producers to illustrate uncertainty in the clearest and most accessible way, the results of the study have the potential to enhance environmental decision-making processes.
机译:使用基于计算机的可视化来描述景观期货在环境决策中越来越普遍,特别是在必须向广泛和非专家的观众传达信息的地方。持续技术开发使得可以使用真实世界的数据作为这种可视化的基础,并且根据要示出的场景,对景观数据进行修改。等因素如所产生的图像中的现实水平和与现场的观众相互作用的能力效果开始被研究人员讨论,但是对不确定性的表示感到相对较少。环境系统的复杂性意味着当任何景观的可能或建议未来国家说明可能或建议的未来状态时,不确定性始终存在于某种程度上,这必须传达给利益相关者,决策者和其他受众。存在制图技术,并已用于说明与空间数据有关的误差和其他质量问题,但没有大规模应用于横向可视化。在英国东部使用诺福克的研究区域正在探索沟通不确定性水平的选择。这项工作首先考虑了不确定性的来源;然后,它继续在技术可行性和数据需求以及观众反应和感知方面检查各种插图方法。在帮助可视化生产商以最清晰和最可靠的方式说明不确定性,研究结果具有提高环境决策过程的潜力。

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