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A method for the constrained interpolation of RLE-compressible chemical weather heatmaps

Kurzanzeige
dc.contributor.authorEpitropou, Victor
dc.contributor.authorKaratzas, Konstantinos
dc.contributor.authorKukkonen, Jaakko
dc.contributor.authorKarppinen, Ari
dc.contributor.editorGómez, Jorge Marx
dc.contributor.editorSonnenschein, Michael
dc.contributor.editorVogel, Ute
dc.contributor.editorWinter, Andreas
dc.contributor.editorRapp, Barbara
dc.contributor.editorGiesen, Nils
dc.date.accessioned2019-09-16T03:12:58Z
dc.date.available2019-09-16T03:12:58Z
dc.date.issued2014
dc.description.abstractChemical Weather (CW) and other geospatial environmental information produced by numerical models are often published on-line in the form of heatmaps which have undergone several lossy processing and transformation steps, resulting in a relatively low visualization and recoverable data, compared to the model data which generated them,. In this paper, a method which is finetuned to the partial reconstruction of such chemical weather data starting from discrete-level heatmaps is presented, which relies on the augmentation of ordinary interpolation methods through the use of peak-limiting functions and other constraining methods.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol8514/0255.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25736
dc.publisherBIS-Verlag
dc.relation.ispartofProceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleA method for the constrained interpolation of RLE-compressible chemical weather heatmapsde
dc.typeText/Conference Paper
gi.citation.publisherPlaceOldenburg
gi.conference.date2014
gi.conference.locationOldenburg
gi.conference.sessiontitleTools for Modeling and Simulation of Environmental Systems

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Environmental Informatics 2014