Normalisation of Environmental Quality Data

dc.contributor.author	Grimvall, Anders
dc.contributor.author	Wackernagel, Hans
dc.contributor.author	Lajaunie, Christian
dc.contributor.editor	Hilty, Lorenz M.
dc.contributor.editor	Gilgen, Paul W.
dc.date.accessioned	2019-09-16T09:32:08Z
dc.date.available	2019-09-16T09:32:08Z
dc.date.issued	2001
dc.description.abstract	Normalisation of environmental data aims at clarifying the human impact on the environment by suppressing meteorologically driven fluctuations and other natural variation in the collected data. This paper shows that the procedures presently used to adjust ai r and water quality data have a common probabilistic framework. Furthermore, this framework can support a number of new techniques for the normalisation of both temporal and spatial patterns in environmental data. In particular, it is shown that deterministic, physics-based models can be incorporated into statistical normalisation procedures.	de
dc.description.uri	http://enviroinfo.eu/sites/default/files/pdfs/vol104/0583.pdf	de
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/26763
dc.publisher	Metropolis
dc.relation.ispartof	Sustainability in the Information Society
dc.relation.ispartofseries	EnviroInfo
dc.title	Normalisation of Environmental Quality Data	de
dc.type	Text/Conference Paper
gi.citation.publisherPlace	Marburg
gi.conference.date	2001
gi.conference.location	Zürich
gi.conference.sessiontitle	Environmental Statistics

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