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Drowning in Geospatial Point Data: A Pattern Based Approach

dc.contributor.authorWaldvogel , Bettina
dc.contributor.authorWotruba, Lukas
dc.contributor.authorMüller, Kalin
dc.contributor.authorBischof, Sandro
dc.contributor.editorGreve, Klaus
dc.contributor.editorCremers, Armin B.
dc.date.accessioned2019-09-16T03:15:19Z
dc.date.available2019-09-16T03:15:19Z
dc.date.issued2010
dc.description.abstractCollecting, storing and archiving data are well understood processes. However, it is not trivial do decide, in which form and how much of the data should be presented to the user. More is not always better. The purpose of this contribution is to present a new way to focus on the basic need for simple answers to simple queries. In this paper three query-patterns are described, which help to reduce the information flood and enhance the usability. The amounts of point data we talk about are rather large for geo-data processing, in particular they are very large in terms of human perception. It is found that the presented patterns can reduce the amount of data by several orders of magnitude by focusing on areas and species of particular interest.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol6516/0744.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/26222
dc.publisherShaker Verlag
dc.relation.ispartofIntegration of Environmental Information in Europe
dc.relation.ispartofseriesEnviroInfo
dc.titleDrowning in Geospatial Point Data: A Pattern Based Approachde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2010
gi.conference.locationCologne/Bonn
gi.conference.sessiontitleSoftware Tools and Databases

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