Browse by author
Lookup NU author(s): Dr Jin Xing
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Routledge, 2020.
For re-use rights please refer to the publisher's terms and conditions.
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.
Author(s): Xing J, Sieber RE, Roche S
Publication type: Article
Publication status: Published
Journal: Annals of the American Association of Geographers
Online publication date: 22/10/2019
Acceptance date: 19/06/2019
Date deposited: 01/11/2019
ISSN (print): 2469-4452
ISSN (electronic): 1467-8306
Altmetrics provided by Altmetric