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A System for Querying and Analyzing Urban Regions

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Advanced Data Mining and Applications (ADMA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10604))

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Abstract

We develop a new interactive visualization system to support the visualization of different aspects of a region as well as querying and analyzing similar land uses. The main contributions of this work include an urban region query framework and an analysis of using the social media and traditional census data to identify similar areas. Two example potential applications of our system are given as follows: (1) Our system can be employed by city planners to analyze and observe identical land uses, assisting them in making development objectives; (2) Our system can also be used by business owners to observe similar urban regions for potential areas of expansion.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Wee Boon Koh & Xiaolei Li

Authors
  1. Wee Boon Koh
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  2. Xiaolei Li
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Corresponding authors

Correspondence to Wee Boon Koh or Xiaolei Li .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Gao Cong

  2. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Chih Peng

  3. Macquarie University, Sydney, New South Wales, Australia

    Wei Emma Zhang

  4. Wuhan University, Wuhan, China

    Chengliang Li

  5. Nanyang Technological University, Singapore, Singapore

    Aixin Sun

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Koh, W.B., Li, X. (2017). A System for Querying and Analyzing Urban Regions. In: Cong, G., Peng, WC., Zhang, W., Li, C., Sun, A. (eds) Advanced Data Mining and Applications. ADMA 2017. Lecture Notes in Computer Science(), vol 10604. Springer, Cham. https://doi.org/10.1007/978-3-319-69179-4_63

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  • DOI: https://doi.org/10.1007/978-3-319-69179-4_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69178-7

  • Online ISBN: 978-3-319-69179-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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