Data Fusion in the Environmental Domain
Air quality and air pollution have a very large impact on human health. The sensitivity to different pollutants varies per person, therefore it is important that citizens can get personalised air quality information. The Personal Environmental Information System (PEIS) aims at delivering just that....
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Published in | Environmental Software Systems. Fostering Information Sharing pp. 62 - 70 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
2013
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Series | IFIP Advances in Information and Communication Technology |
Subjects | |
Online Access | Get full text |
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Summary: | Air quality and air pollution have a very large impact on human health. The sensitivity to different pollutants varies per person, therefore it is important that citizens can get personalised air quality information. The Personal Environmental Information System (PEIS) aims at delivering just that. The PEIS takes sensor data from several data providers and employs a service-oriented architecture to deliver these observations to the user through a smartphone application. The PEIS also uses scientific models to fuse the sensor data and create new, derived observations. To make scientific models that fuse sensor data fit better in a service-oriented architecture, a software framework called Fusion4Decision was developed. This framework is based on Open Geospatial Consortium standards and allows scientific models written in languages like MATLAB or R to be available as a web service. |
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ISBN: | 3642411509 9783642411502 |
ISSN: | 1868-4238 1868-422X |
DOI: | 10.1007/978-3-642-41151-9_7 |