Tory Melanie, Sprague David, Wu Fuqu, So Wing Yan, Munzner Tamara
University of Victoria.
IEEE Trans Vis Comput Graph. 2007 Nov-Dec;13(6):1262-9. doi: 10.1109/TVCG.2007.70596.
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.
空间化表示法使用类似于地图的空间布局来呈现非空间数据。我们进行了一项实验，比较空间化数据的不同视觉表示形式，以确定哪些表示形式最适合一项重要的搜索和点估计任务。主要地，我们将基于点的显示与二维和三维信息景观进行比较。我们还将颜色（色调）标度与灰度（亮度）标度进行比较。对于我们所研究的任务，基于点的空间化表示法远优于景观表示法，并且二维景观优于三维景观。发现使用颜色或灰度与景观高度相结合来冗余编码数据几乎没有益处。没有颜色标度（仅高度）的三维景观特别缓慢且不准确。对于所有显示类型，发现颜色标度优于灰度标度，但与仅高度表示相比，灰度标度是有帮助的。这些结果表明，至少对于仅涉及点数据本身而非关于数据空间的派生信息的任务，应选择基于点的空间化表示法而非景观表示法。
