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Data enrichment for automated map generalization (DEGEN 2)

English title Data enrichment for automated map generalization (DEGEN 2)
Applicant Weibel Robert
Number 116302
Funding scheme Project funding (Div. I-III)
Research institution Geographisches Institut Universität Zürich
Institution of higher education University of Zurich - ZH
Main discipline Other disciplines of Environmental Sciences
Start/End 01.04.2007 - 30.09.2007
Approved amount 46'471.00
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Keywords (8)

digital cartography; automated map generalization; data enrichment; cartographic pattern recognition; multiscale spatial databases; generalization web services; map generalization; geographic information systems

Lay Summary (English)

Lead
Lay summary
As its predecessor project DEGEN the research on DEGEN2 will be situated in the domain of automated map generalization. Map generalization (short: generalization) is a function of fun-da-mental importance in digital cartography and geographic information systems (GIS), needed for a variety of tasks such as the creation and maintenance of geospatial databases at mul-tiple scales, cartographic visualization at variable scales, and controlled data reduction. More precisely, the proposed project will continue to focus on data enrichment for map generalization. Spatial databases are typically designed to serve a variety of purposes and hence are not optimized to support complex cartographic processes such as map generalization. Data enrichment, therefore, is necessary to equip the ‘raw’ spatial data with additional information that is suited to support the complex decision making processes that prevail in automated map generalization, such as the detection of cartographic conflicts, the selection of appropriate generalization algorithms, the automated setting of algorithm parameters, and the ‘orchestration’ of interrelated generalization algorithms. Two PhD students are engaged in two subprojects that are linked by a common conceptual framework (the notion of so-called horizontal and vertical relations in order to describe the essential structures and patterns of a map) and they are using the same software platform as experimental workbench. The extension of DEGEN2 will allow the students to wrap up their research, exploit synergies between the subprojects, and complete their theses.
Direct link to Lay Summary Last update: 21.02.2013

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Associated projects

Number Title Start Funding scheme
101798 Data enrichment for automated map generalization (DEGEN) 01.04.2004 Project funding (Div. I-III)
120256 Generalization for Portrayal in Web and Wireless Mapping (GenW 2) 01.09.2008 Project funding (Div. I-III)

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