TopoGroups: Context-Preserving Visual Illustration of Multi-Scale Spatial Aggregates
作者： Jiawei Zhang , Abish Malik , Benjamin Ahlbrand , Niklas Elmqvist , Ross Maciejewski
关键词:
摘要: Spatial datasets, such as tweets in a geographic area, often exhibit different distribution patterns at multiple levels of scale, live updates about events occurring very specific locations on the map. Navigating multi-scale data-rich spaces is inefficient, requires users to choose between overview or detail information, and does not support identifying spatial varying scales. In this paper, we propose TopoGroups, novel context-preserving technique that aggregates data into hierarchical clusters improve exploration navigation The uses boundary distortion algorithm minimize visual clutter caused by overlapping aggregates. Our user study explores encoding strategies for TopoGroups including color, transparency, shading, shapes order convey statistical information geographical
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