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dc.contributor.authorBereuter, Pia
dc.contributor.authorWeibel, Robert
dc.date.accessioned2017-12-12T08:47:51Z
dc.date.available2017-12-12T08:47:51Z
dc.date.issued2017-04-13
dc.identifier.doi10.1080/23729333.2017.1304189
dc.identifier.urihttp://hdl.handle.net/11654/25714
dc.description.abstractVariable-scale maps have been advocated by several authors in the context of mobile cartography. In the literature on real-time map generalisation, however, corresponding methods that resolve cartographic conflicts by deformation of the underlying map space together with the map foreground, are underrepresented. This paper demonstrates how the concept of a malleable space can be applied as a part of the generalisation process and incorporated into the overall methodology of point generalisation. Two different algorithms are used, a density-equalising cartogram algorithm and Laplacian smoothing. Both methods work in real-time and are data-driven. In addition, they allow for a parameterisation in combination with a quadtree data structure, as well as a combination with ’classic’ generalisation operators (e.g. selection, aggregation, displacement) based on the quadtree. The quadtree serves both as a spatial index for fast retrieval and search of points, and as a density estimator to inform generalisation operators. The use of the quadtree as a common spatial index provides a tool to combine variable-scale maps with classic generalisation. A combination of the two allows, at small map scales, the maintenance of detail in dense areas and data reduction in sparse areas. Additionally, it facilitates building a modular workflow for real-time map generalisation.
dc.description.urihttp://www.tandfonline.com/doi/full/10.1080/23729333.2017.1304189
dc.language.isoen
dc.relation.ispartofInternational Journal of Cartography
dc.accessRightsAnonymous
dc.subjectmap generalisation
dc.subjectreal-time map generalisation
dc.subjectquadtree
dc.subjectcartogram
dc.subjectLaplacian smoothing
dc.titleVariable-scale maps in real-time generalisation using a quadtree data structure and space deforming algorithms
dc.type01 - Zeitschriftenartikel, Journalartikel oder Magazin
dc.volume3
dc.issue1
dc.audienceScience
fhnw.publicationStatePublished
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.InventedHereNo
fhnw.PublishedSwitzerlandNo
fhnw.pagination134-147
fhnw.IsStudentsWorkno
fhnw.publicationOnlineJa


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