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首页> 外文期刊>IEEE transactions on visualization and computer graphics >Spatialization Design: Comparing Points and Landscapes
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Spatialization Design: Comparing Points and Landscapes

机译：空间设计：比较点和景观

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摘要

Spatializations represent non-spatial data using a spatial layout similar to a map. We present an experiment comparing different visual representations of spatialized data, to determine which representations are best for a non-trivial search and point estimation task. Primarily, we compare point-based displays to 2D and 3D information landscapes. We also compare a colour (hue) scale to a grey (lightness) scale. For the task we studied, point-based spatializations were far superior to landscapes, and 2D landscapes were superior to 3D landscapes. Little or no benefit was found for redundantly encoding data using colour or greyscale combined with landscape height. 3D landscapes with no colour scale (height-only) were particularly slow and inaccurate. A colour scale was found to be better than a greyscale for all display types, but a greyscale was helpful compared to height-only. These results suggest that point-based spatializations should be chosen over landscape representations, at least for tasks involving only point data itself rather than derived information about the data space.
机译：空间化使用类似于地图的空间布局表示非空间数据。我们提出了一项比较空间数据不同视觉表示形式的实验，以确定哪种表示形式最适合非平凡的搜索和点估计任务。首先，我们将基于点的显示与2D和3D信息格局进行比较。我们还比较了颜色（色相）和灰度（浅色）。对于我们研究的任务，基于点的空间化远远优于景观，而2D景观则优于3D景观。使用彩色或灰度级结合横向高度对数据进行冗余编码的好处很少或没有。没有色标的3D景观（仅高度）特别慢且不准确。发现所有显示类型的色标均优于灰度，但与仅高度相比，灰度有帮助。这些结果表明，至少对于仅涉及点数据本身而不是有关数据空间的派生信息的任务，应选择基于点的空间化而不是横向表示。

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