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Location Graphs for Movement Data Modeling, Analytics and Visualization

Published:05 November 2019Publication History

ABSTRACT

Modeling movement through an environment can be a complicated task given the variations of data scale, quality, temporal sampling, and fidelity of location information. We present recent work in modeling location information both spatially, temporally and semantically using a new product called Location Graph.

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  1. Location Graphs for Movement Data Modeling, Analytics and Visualization

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      • Published in

        cover image ACM Conferences
        MOVE'19: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data
        November 2019
        25 pages
        ISBN:9781450369510
        DOI:10.1145/3356392

        Copyright © 2019 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 5 November 2019

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        Qualifiers

        • invited-talk
        • Research
        • Refereed limited

        Acceptance Rates

        MOVE'19 Paper Acceptance Rate5of8submissions,63%Overall Acceptance Rate5of8submissions,63%

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