Generalisation and Multiple Representation

Generalisation models and processes

6104.4 - A Generalization Strategy for Discrete Area Feature by Using Stroke Grouping and Polarization Transportation Selection

Thursday, July 6
9:30 AM - 9:50 AM
Location: Virginia B

This paper presents a new strategy for the generalization of discrete area features by using stroke grouping method and polarization transportation selection. The mentioned stroke is constructed on derive of the refined proximity graph of area features, and the refinement is under the control of four constraints to meet different grouping re-quirements. The area features which belong to the same stroke are detected into the same group. The stroke-based strategy decomposes the generalization process into two sub-processes by judging whether the area features related to strokes or not. For the area features which belong to the same one stroke, they normally present a linear like pat-tern, and in order to preserve this kind of pattern, typification is chosen as the operator to implement the generaliza-tion work. For the remaining area features which are not related by strokes, they are still distributed randomly and discretely, and the selection is chosen to conduct the generalization operation. For the purpose of retaining their orig-inal distribution characteristic, a Polarization Transportation (PT) method is introduced to implement the selection operation. Buildings and lakes are selected as the representatives of artificial area feature and natural area feature respectively to take the experiments. The generalized results indicate that by adopting this proposed strategy, the original distribution characteristics of building and lake data can be preserved, and the visual perception is pre-served as before.

Xiao Wang

Research associate
Dresden University of Technology

Xiao Wang is a PhD student in the Institute of Cartography at Dresden University of Technology. He got his Master Degree in Engineering in China 2012. His master thesis is about spatial data matching. Currently, his research interests in automated map generalization, especially on the building group pattern detection and building generalization.

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Dirk Burghardt

Prof. Dipl.-Phys. Dr.-Ing. habil.
TU Dresden, Institut of Cartography

Dirk Burghardt is a full professor in the Cartographic Institute at Dresden University of Technology since 2009. From 1998-2001 he worked as a software engineer and product manager in a map production company in Switzerland. Between 2002 and 2008 he was lecturer in the GIS Division at the University of Zurich (CH). Prof. Burghardt is the chair of the ICA Commission on Generalisation and Multiple Representation of the International Cartographic Association since 2011. His main research interests include automated generalisation and map production, geographic information retrieval, interactive cartographic presentations, geovisual analytics and cartographic communication.

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Cécile Duchêne

Senior Researcher
IGN France, LASTIG, COGIT team

Cécile Duchêne is a senior researcher at the LASTIG laboratory, COGIT team, IGN France (the French National Mapping Agency). She holds a PhD in computer science from University Pierre et Marie Curie (Paris 6) and an Habilitation from University Paris-Est. She has been the vice-chair of the ICA Commission on Generalisation and Multiple Representation since 2011. Her research interests are in automated spatial analysis and automated cartography, especially automated cartographic generalization.

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6104.4 - A Generalization Strategy for Discrete Area Feature by Using Stroke Grouping and Polarization Transportation Selection

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