Sensor integration and analysis for visual identification of environmental patterns

Patricia Morreale, Guillermo Valle, Johana Callegari, Francis Kendall

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication2011 IEEE International Systems Conference, SysCon 2011 - Proceedings
Pages7-12
Number of pages6
DOIs
StatePublished - 2011
Event2011 5th IEEE International Systems Conference, SysCon 2011 - Montreal, QC, Canada
Duration: 4 Apr 20117 Apr 2011

Publication series

Name2011 IEEE International Systems Conference, SysCon 2011 - Proceedings

Conference

Conference2011 5th IEEE International Systems Conference, SysCon 2011
Country/TerritoryCanada
CityMontreal, QC
Period4/04/117/04/11

Keywords

  • application design
  • data mining
  • sensor networks
  • systems integration

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