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Rethinking Spatial Tessellation in an Era of the Smart City

Lookup NU author(s): Dr Jin XingORCiD

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by Routledge, 2020.

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Abstract

Smart cities frequently rely on vast sensor networks, such as traffic cameras and ventilation controllers. This requires we rethink methods of spatial tessellation. As tessellation becoming more dynamic, we often combine multiple tessellation methods and switch tessellation shapes frequently for different data collection and analytics. In this paper, we review tessellation works with the object and field geographic spatial models. To achieve the “smartness” within cities, this position paper introduces the dynamic tessellation approach as the initial solution.

Publication metadata

Author(s): Xing J, Sieber RE, Roche S

Publication type: Article

Publication status: Published

Journal: Annals of the American Association of Geographers

Year: 2020

Volume: 110

Issue: 2

Pages: 399-407

Online publication date: 22/10/2019

Acceptance date: 19/06/2019

Date deposited: 01/11/2019

ISSN (print): 2469-4452

ISSN (electronic): 1467-8306

Publisher: Routledge

URL: https://doi.org/10.1080/24694452.2019.1662766

DOI: 10.1080/24694452.2019.1662766

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