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dc.contributor.authorKRACHT OLIVERen_GB
dc.contributor.authorGERBOLES Michelen_GB
dc.date.accessioned2014-12-19T01:11:12Z-
dc.date.available2014-12-18en_GB
dc.date.available2014-12-19T01:11:12Z-
dc.date.created2014-12-03en_GB
dc.date.issued2014en_GB
dc.date.submitted2014-04-04en_GB
dc.identifier.citation10th Conference on Geostatistics for Environmental Applications (geoENV 2014) p. 109-110en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC89787-
dc.description.abstractWe are presenting the closer evaluation of a consolidated screening tool for the automatized recognition of anomalies in air quality monitoring data, which considers both attribute values and spatio-temporal relationships. Application examples for the identification of anomalies within the AirBase 2001-to-2010 time series of PM10 background station datasets are demonstrated. Furthermore, sensitivity analyses and validation approaches using synthetic datasets are being discussed. The implemented method is of significant interest as the basis of a data quality screening system.en_GB
dc.description.sponsorshipJRC.H.2-Air and Climateen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherGeovariances / geoENV 2014en_GB
dc.relation.ispartofseriesJRC89787en_GB
dc.titleAutomated Screening of Spatio-Temporal Anomalies in Long Term / Large Scale Air Quality Observation Time Seriesen_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Sustainable Resources

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