000150357 001__ 150357
000150357 005__ 20210129213146.0
000150357 020__ $$a978-1-61499-114-4
000150357 037__ $$aFZJ-2014-00427
000150357 041__ $$aEnglish
000150357 1001_ $$0P:(DE-Juel1)156413$$aDevaraju, Anusuriya$$b0$$eCorresponding author$$gfemale$$ufzj
000150357 245__ $$aRepresenting and Reasoning about Geographic Occurrences in the Sensor Web$$f2008-12-01 - 2012-04-18
000150357 260__ $$aGermany$$bAKA Verlag$$c2012
000150357 300__ $$a201
000150357 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1390989120_28884
000150357 3367_ $$02$$2EndNote$$aThesis
000150357 3367_ $$2DRIVER$$adoctoralThesis
000150357 3367_ $$2BibTeX$$aPHDTHESIS
000150357 3367_ $$2DataCite$$aOutput Types/Dissertation
000150357 3367_ $$2ORCID$$aDISSERTATION
000150357 4900_ $$aDissertations in Geographic Information Science (GISDISS)$$v7
000150357 500__ $$3POF3_Assignment on 2016-02-29
000150357 502__ $$aUniversity of Muenster, Diss., 2012$$bDr.$$cUniversity of Muenster$$d2012
000150357 520__ $$aObservations are fed into the Sensor Web through a growing number of environmental sensors, including technical and human observers. While a wealth of observations is now accessible, there is still a gap between low-level observations and the high-level descriptive information they reflect. For example, we may ask what the measurements mean when a weather buoy provides a temperature time series. The challenge is not to gather a vast number of observations, but rather to make sense of them in environmental monitoring and decision making. In order to infer meaningful information about geographic occurrences from observations, a description of how one gets from the former to information about the latter must be expressed. Here, questions that call for clarification are: How can geographic occurrences be formally modeled with respect to properties observed by sensors? How can the formal model be used to infer knowledge about geographic occurrences from sensor observations? This book delivers a formal model to answer these ontological questions. The model is used to infer information about blizzards from time series produced by a weather station.
000150357 536__ $$0G:(DE-HGF)POF2-246$$a246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246)$$cPOF2-246$$fPOF II$$x0
000150357 650_7 $$0V:(DE-588b)4012494-0$$2GND$$aDissertation$$xDiss.
000150357 8564_ $$uhttp://www.iospress.nl/book/representing-and-reasoning-about-geographic-occurrences-in-the-sensor-web/
000150357 909CO $$ooai:juser.fz-juelich.de:150357$$pVDB:Earth_Environment$$pVDB
000150357 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156413$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000150357 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
000150357 9131_ $$0G:(DE-HGF)POF2-246$$1G:(DE-HGF)POF2-240$$2G:(DE-HGF)POF2-200$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vModelling and Monitoring Terrestrial Systems: Methods and Technologies$$x0
000150357 9141_ $$y2013
000150357 920__ $$lno
000150357 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000150357 980__ $$aphd
000150357 980__ $$aVDB
000150357 980__ $$aUNRESTRICTED
000150357 980__ $$aI:(DE-Juel1)IBG-3-20101118