Abstract
Emerging wireless sensor network (WSN) technologies are opening up
many important new opportunities for applications to the built environment, like traffic management, emergency response, and pollution monitoring. However, today’s WSNs have little or no spatial capabilities, and are primarily treated as simply a new data source for integration with other conventional spatial information systems. In contrast, this paper explores the potential for augmenting such networks with the capabilities to not only capture, but also process, query, and even use spatial data in the network itself. The objective is to embed spatial intelligence within the built environment using wireless sensor networks. This “ambient spatial intelligence” (AmSI) presents new fundamental research challenges to many established areas of geomatics and spatial information science. This paper identifies key research problems across geomatics, in the domains of positioning, geographic information
science, spatial cognition and geovisualization, spatial data infrastructures, and
integration with established data sources like remote sensing and photogrammetry.
Using the example of monitoring native vegetation change, the paper indicates how
each of these topics is required to contribute to a complete AmSI application to
sustainable cities.
many important new opportunities for applications to the built environment, like traffic management, emergency response, and pollution monitoring. However, today’s WSNs have little or no spatial capabilities, and are primarily treated as simply a new data source for integration with other conventional spatial information systems. In contrast, this paper explores the potential for augmenting such networks with the capabilities to not only capture, but also process, query, and even use spatial data in the network itself. The objective is to embed spatial intelligence within the built environment using wireless sensor networks. This “ambient spatial intelligence” (AmSI) presents new fundamental research challenges to many established areas of geomatics and spatial information science. This paper identifies key research problems across geomatics, in the domains of positioning, geographic information
science, spatial cognition and geovisualization, spatial data infrastructures, and
integration with established data sources like remote sensing and photogrammetry.
Using the example of monitoring native vegetation change, the paper indicates how
each of these topics is required to contribute to a complete AmSI application to
sustainable cities.
Original language | English |
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Title of host publication | Proceedings of the 11th International Conference on Computers in Urban Planning and Urban Management, 16-18 June 2009, Hong Kong, CUPUM 20th anniversary |
Editors | A.G.O. Yeh, F. Zhang |
Place of Publication | Hong Kong, China |
Publisher | University of Hong Kong |
Number of pages | 15 |
ISBN (Print) | 978-962-7589-0 |
Publication status | Published - 2009 |
Event | 11th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2009 - Hong Kong, Hong Kong Duration: 16 Jun 2009 → 18 Jun 2009 Conference number: 11 |
Conference
Conference | 11th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2009 |
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Abbreviated title | CUPUM |
Country/Territory | Hong Kong |
City | Hong Kong |
Period | 16/06/09 → 18/06/09 |
Keywords
- ADLIB-ART-1721