Project

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Generalization for Portrayal in Web and Wireless Mapping (GenW2+)

Applicant Weibel Robert
Number 138109
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 01.01.2012 - 30.11.2012
Approved amount 104'312.00
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All Disciplines (2)

Discipline
Other disciplines of Environmental Sciences
Information Technology

Keywords (6)

web and wireless mapping; portrayal; digital cartography; automated map generalization; user-generated content; geographic information systems (GIS)

Lay Summary (English)

Lead
Lay summary

GenW2+ forms a one-year extension of its predecessor GenW2 and is situated in the domains of geographic information systems (GIS) and digital cartography. Map generalization (short: generalization) is a key function in digital cartography and GIS, needed for a variety of tasks such as the generation of maps at different scales, the creation and maintenance of geospatial databases at multiple scales, and controlled data reduction. More specifically, this project focuses on generalization for web and wireless (or mobile) maps on small, portable end user devices. Hence, we pay attention to the gradual evolution of GIS and cartography towards the mobile context. The automatic generation of maps on mobile devices (aka portrayal) and map generalization receive a different meaning in a mobile context of usage and are governed by different needs and opportunities than static paper maps. GenW2+ consists of two subprojects, both funding one PhD student.

Subproject A responds to the fact that information sources today are no longer restricted to static spatial databases but may also include rapidly changing or even ephemeral information that can be harvested from the web. In particular, user-generated content with a geographic dimension (e.g. georeferenced Flickr images) can be integrated with official or commercial spatial databases such as those provided by the Swiss national mapping agency Swisstopo.

Subproject B focuses on real-time (or on-the-fly) delivery of maps on mobile devices, tailored to the location and needs of a mobile user, with particular attention on point data. Point data, in this case, are either points of interest or 'clouds' of points where some observations or measurements were made (e.g. wildlife observations). Maps displaying such point data in existing web or mobile applications are often so cluttered with point symbols that they become illegible. Hence, algorithms for real-time point data generalization are needed.

Direct link to Lay Summary Last update: 21.02.2013

Responsible applicant and co-applicants

Employees

Publications

Publication
Algorithms for on-the-fly generalization of point data using quadtrees
Bereuter Pia, Weibel Robert (2012), Algorithms for on-the-fly generalization of point data using quadtrees, in Proceedings of the 17th AutoCarto Conference, Columbus, OH (USA).
Content zooming and exploration for mobile maps
Bereuter Pia, Weibel Robert, Burghardt Dirk (2012), Content zooming and exploration for mobile maps, in Proceedings of the AGILE 2012 International Conference on Geographic Information Science, Avignon.
Exploration of activities in space and time using User Generated Content
Venkateswaran Ramya (2012), Exploration of activities in space and time using User Generated Content, in Annual Meeting, Association of American Geographers, New York, NY (USA).
Real-time generalization of point data in web and mobile mapping using quadtrees
Bereuter Pia, Weibel Robert, Real-time generalization of point data in web and mobile mapping using quadtrees, in Cartography and Geographic Information Science.

Collaboration

Group / person Country
Types of collaboration
Swiss National Park Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Research Infrastructure
Institut Géographique National, Paris (Laboratoire COGIT) France (Europe)
- in-depth/constructive exchanges on approaches, methods or results
TU Dresden, Institute of Cartography Germany (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Exchange of personnel
Ordnance Survey of Great Britain Great Britain and Northern Ireland (Europe)
- in-depth/constructive exchanges on approaches, methods or results

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved


Associated projects

Number Title Start Funding scheme
120256 Generalization for Portrayal in Web and Wireless Mapping (GenW 2) 01.09.2008 Project funding (Div. I-III)
120256 Generalization for Portrayal in Web and Wireless Mapping (GenW 2) 01.09.2008 Project funding (Div. I-III)
149823 Place-based map generalization (PlaceGen) 01.06.2014 Project funding (Div. I-III)

Abstract

With the present proposal of GenW2+ we apply for a continuation of SNF project GenW2 (No. 200020-120256). The proposed continuation is intended to provide a seamless extension of 12 months for the two PhD students (Ramya Venkateswaran, Pia Bereuter) currently working on the ongoing project GenW2. The extension would primarily allow the two students to solidly wrap up their ongoing work.Like the ongoing project GenW2 the proposed research on GenW2+ will be situated at the intersection of the domains of digital cartography, geographic information systems (GIS), and automated map generalization. The automatic generation of maps on mobile devices (called portrayal) and map generalization receive a different meaning in a mobile context of usage and are governed by different needs and opportunities than static paper maps. Subproject A responds to the fact that information sources are not restricted to static spatial databases but may also include rapidly changing or even ephemeral information from the web. Subproject B focuses on real-time (or on-the-fly) delivery of maps on mo-bile devices, tailored to the location and needs of a mobile user, with particular attention on point data (i.e. points of interest and point collections).
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