Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Visualizing hot spot analysis result based on mashup
Proceedings of the 2009 International Workshop on Location Based Social Networks
Focus+Glue+Context: an improved fisheye approach for web map services
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Outlier mining based Automatic Incident Detection on urban arterial road
Mobility '09 Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
Making a pictorial and verbal travel trace from a GPS trace
W2GIS'12 Proceedings of the 11th international conference on Web and Wireless Geographical Information Systems
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Advanced GIS applications and GPS loggers allow travelers to record their own tracks and later examine, modify and share them. Searching for the areas of interest, AOIs, however, is often not an easy task, especially with long routes. This paper proposes a system for inferring and focusing AOIs, from a GPS trace. The proposed system consists of three main functions: fragmentation, defragmentation, and focusing. The fragmentation detects the changes of the travelling pace and decomposes the GPS trace into a large number of small fragments according the traveling pace while the defragmentation composes adjacent fragments into one fragment which is inside the AOI. The focusing provides a Focus+Context+Glue map where the Focus is an area of a large-scale map including the AOI that enables users to understand details of the AOI. We have developed a prototype of the proposed method that includes the above features and evaluated the feasibility and advantages of the proposed system.