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Establishing a neurocognition-based taxonomy of graphical variables for attention-guiding geovisualisation

机译:建立一种基于神经认知的图形变量分类,用于注意引导地理化

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It is a delicate task to design suitable geovisualisations that allow users an efficient visual processing of geographic information. In digital era, such a design task is confronted with a three-fold challenge: the ever growing amount of geospatial data at various granularity levels, the diversified applications and the continuously expanding range of display sizes. A geovisualisation system that strives for a high usability must satisfy the crucial prerequisite of immediately directing the user's gaze to the location of relevant geographic information and of easy decidability of the underlying semantic meanings. To this end, the cognitive skill of visual attention contributes to mnemonic and executive processes. Attention is indispensable for the visual selection. It facilitates the relevant information retrieval, processing and storage. On the basis of neurocognitive visual information processing, the paper addresses the interdisciplinary approach of attention-guiding design of geovisualisations with the intention to establish a taxonomy of scientifically testable variables. The authors try to relate attention-guiding attributes with graphical variables that cartographers apply to encode geographic information. The work is driven by the motivation to enhance the efficiency of geovisualisations and to enable a more precise neurocognition-based evaluation of geovisualisations.
机译:设计合适的地理化学是一种微妙的任务,使用户能够有效地进行地理信息的视觉处理。在数字时代,这种设计任务面临着三倍的挑战:在各种粒度水平,多样化的应用和连续扩展范围的显示尺寸下越来越多的地理空间数据量。一种努力实现高可用性的地理位理系统必须满足立即将用户凝视指导到相关地理信息的位置以及潜在的语义含义的容易辨别性的关键先决条件。为此,视觉关注的认知技能有助于助记符和执行过程。注意视觉选择是必不可少的。它有助于相关信息检索,处理和存储。在神经认知的视觉信息处理的基础上,该论文解决了地理化的关注设计的跨学科方法,并意图建立科学可测试的变量的分类。作者试图将注意力引导属性与图形变量相关联,制动器适用于编码地理信息。这项工作是由提高地理化效率的动机驱动的,使得能够更精确的基于神经模型的地理化评估。

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