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Hierarchical route maps for efficient navigation
Author(s) -
Fangzhou Wang,
Yang Li,
Daisuke Sakamoto,
Takeo Igarashi
Publication year - 2014
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2557500.2557514
Subject(s) - zoom , computer science , usability , construct (python library) , tree (set theory) , scale (ratio) , routing (electronic design automation) , tree structure , information retrieval , hierarchical database model , data mining , data structure , theoretical computer science , human–computer interaction , cartography , geography , programming language , computer network , mathematical analysis , mathematics , petroleum engineering , engineering , lens (geology)
One of the difficulties with standard route maps is accessing to multi-scale routing information. The user needs to display maps in both a large scale to see details and a small scale to see an overview, but this requires tedious interaction such as zooming in and out. We propose to use a hierarchical structure for a route map, called a "Route Tree", to address this problem, and describe an algorithm to automatically construct such a structure. A Route Tree is a hierarchical grouping of all small route segments to allow quick access to meaningful large and small-scale views. We propose two Route Tree applications, "RouteZoom" for interactive map browsing and "TreePrint" for route information printing, to show the applicability and usability of the structure. We conducted a preliminary user study on RouteZoom, and the results showed that RouteZoom significantly lowers the interaction cost for obtaining information from a map compared to a traditional interactive map.

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