Conference Paper

#48 

@inproceedings{Zhang2018, title={TopoText: Context-Preserving Semantic Exploration Across Multiple Spatial Scales}, author={Jiawei Zhang and Chittayong Surakitbanharn and Niklas Elmqvist and Ross Maciejewski and Zhenyu Quan and David S. Ebert}, url={http://www.umiacs.umd.edu/~elm/projects/topotext/topotext.pdf}, year={2018}, date={2018-01-01}, booktitle={Proceedings of the ACM Conference on Human Factors in Computing Systems}, journal={Proceedings of the ACM Conference on Human Factors in Computing Systems}, abstract={TopoText is a context-preserving technique for visualizing semantic data for multi-scale spatial aggregates to gain insight into spatial phenomena. Conventional exploration requires users to navigate across multiple scales but only presents the information related to the current scale. This limitation potentially adds more steps of interaction and cognitive overload to the users. TopoText renders multi-scale aggregates into a single visual display combining novel text-based encoding and layout methods that draw labels along the boundary or filled within the aggregates. The text itself not only summarizes the semantics at each individual scale, but also indicates the spatial coverage of the aggregates and their underlying hierarchical}, keywords={}, }