@inproceedings{a273e9aa2e31401aa6cf408edc86816d,
title = "Sensor integration and analysis for visual identification of environmental patterns",
abstract = "Sensor data integration is crucial for the analysis and identification of environmental patterns. In this research project, publicly available datasets of environmental sensor data are integrated with Google Earth. Information on environmental patterns is identified, analyzed, and presented on the Web in response to user queries. This prototype demonstrates how sensor data can be integrated with Google Earth to enable the geographic and temporal context display of environmental data, with an interactive format, for users to analyze and identify environmental patterns in real-time.",
keywords = "application design, data mining, sensor networks, systems integration",
author = "Patricia Morreale and Guillermo Valle and Johana Callegari and Francis Kendall",
year = "2011",
doi = "10.1109/SYSCON.2011.5929047",
language = "English",
isbn = "9781424494927",
series = "2011 IEEE International Systems Conference, SysCon 2011 - Proceedings",
pages = "7--12",
booktitle = "2011 IEEE International Systems Conference, SysCon 2011 - Proceedings",
note = "2011 5th IEEE International Systems Conference, SysCon 2011 ; Conference date: 04-04-2011 Through 07-04-2011",
}