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Environmental Monitoring of Continuous Phenomena by Sensor Data Streams: A System Approach Based on Kriging

dc.contributor.authorLorkowski, Peter
dc.contributor.authorBrinkhoff, Thomas
dc.contributor.editorJohannsen, Vivian Kvist
dc.contributor.editorJensen, Stefan
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorPreist, Chris
dc.contributor.editorEriksson, Elina
dc.date.accessioned2019-09-16T03:11:26Z
dc.date.available2019-09-16T03:11:26Z
dc.date.issued2015
dc.description.abstractEnvironmental monitoring as technological endeavor has to deal with limitations in respect to transmission capacities, computational resources and storage space. Despite the progress in ICT, those limitations remain significant because of rising demands like real-time monitoring on the one hand and increased amount of observations on the other. The geostatistic method of kriging, originally developed to manage spatial uncertainty, provides elaborate means for spatio-temporal interpolation and is therefore the method of choice wherever continuous phenomena are to be monitored by discrete observations. With its associated confidence estimation, the method can also be exploited to solve other problems like fusion of sub-models for continuous real-time updates or filtering massive sensor streams. In this work, we suggest a system, substantially based on kriging, to filter, process, interpolate, monitor and archive sensor data streams. We incorporate several algorithmic and technical solutions into this system and evaluate them by simulated and real data.de
dc.identifier.doi10.2991/ict4s-env-15.2015.4
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25684
dc.publisherAtlantis Press
dc.relation.ispartofEnviroInfo & ICT4S, Conference Proceedings
dc.relation.ispartofseriesEnviroInfo
dc.titleEnvironmental Monitoring of Continuous Phenomena by Sensor Data Streams: A System Approach Based on Krigingde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAmsterdam - Beijing - Paris
gi.conference.date2015
gi.conference.locationCopenhagen
gi.conference.sessiontitleConverStation I

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