BibTex format
@article{Richards,
author = {Richards, M and Ghanem, M and Guo, Y and Osmond, M and Hassard, H},
journal = {Ecological Modelling},
pages = {274--286},
title = {Grid-based Analysis of Air Pollution Data},
volume = {194},
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - JOUR
AB - n this paper, we present a distributed infrastructure based on Grid computing technology and data integration and mining tools to discuss the main informatics challenges that arise when a high-throughput sensor network is constructed to address real-time urban air pollution monitoring and mapping. We present the background to urban air pollution monitoring and modelling and describe the high-throughput sensors developed within this project to tackle the problem. We present a solution that addresses the informatics challenges based on the integration of distributed sensors, Grid technologies, data integration, data mining and GIS systems. We also present a case study for examining the effectiveness of visual and automated methods developed for the analysis of generated data sets.
AU - Richards,M
AU - Ghanem,M
AU - Guo,Y
AU - Osmond,M
AU - Hassard,H
EP - 286
SP - 274
TI - Grid-based Analysis of Air Pollution Data
T2 - Ecological Modelling
VL - 194
ER -