Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method

Li, M, Bao, Z, Choudhury, F and Sellis, T 2019, 'Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method', in Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15 2019, pp. 782-785.


Document type: Conference Paper
Collection: Conference Papers

Title Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method
Author(s) Li, M
Bao, Z
Choudhury, F
Sellis, T
Year 2019
Conference name Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019
Conference location Melbourne, VIC, Australia
Conference dates February 11-15 2019
Proceedings title Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019
Publisher ACM
Place of publication New York, USA
Start page 782
End page 785
Total pages 4
Abstract Understanding urban areas of interest (AOIs) is essential to decision making in various urban planning and exploration tasks. Such AOIs can be computed based on the geographic points that satisfy the user query. In this demo, we present an interactive visualization system of urban AOIs, supported by a parameter-free and efficient footprint method called AOI-shapes. Compared to state-of-the-art footprint methods, the proposed AOI-shapes (i) is parameter-free, (ii) is able to recognize multiple regions/outliers, (iii) can detect inner holes, and (iv) supports the incremental method. We demonstrate the effectiveness and efficiency of the proposed AOI-shapes based on a real-world real estate dataset in Australia. A preliminary version of the online demo can be accessed at http://aoishapes.com/.
Subjects Database Management
DOI - identifier 10.1145/3289600.3290612
Copyright notice © 2019 the owner/author(s)
ISBN 9781450359405
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