A CONCEPTUAL FRAMEWORK FOR AUTOMATED GENERALIZATION AND ITS APPLICATION TO GEOLOGIC AND SOIL MAPS

Research in map generalization starts to focus on other types of maps than on topographic maps only. There- fore, new generalization concepts have to be developed, extending on the experiences and research efforts originally made in topographic generalization. This paper presents a new conceptual framework of map generalization with re- spect to thematic mapping based on an analysis of the literature. The framework consists of three phases: a structure analysis stage, the generalization stage and the visualization stage. The stages are first discussed by their objectives and subsequently with respect to more technical modeling aspects. Finally, as a case study, the framework is applied to conceptual modeling of the generalization of geologic and soil maps.

[1]  Martin Galanda.  Automated polygon generalization in a multi agent system , 2003 .

[2]  Tapani Sarjakoski,et al.  Simultaneous Graphic Generalization of Vector Data Sets , 2002, GeoInformatica.

[3]  A. Ruas.  Modèle de généralisation de données géographiques à base de contraintes et d'autonomie , 1999 .

[4]  David A. Bennett,et al.  Using Genetic Algorithms to Create Multicriteria Class Intervals for Choropleth Maps , 2003 .

[5]  William Mackaness,et al.  A Constraint Based Approach to Human Computer Interaction in Automated Cartography , 1995 .

[6]  Stefan Steiniger,et al.  Snakes: a technique for line smoothing and displacement in map generalisation , 2004 .

[7]  Robert Weibel,et al.  Integrating multi agent, object oriented and algorithmic techniques for improved automoated map generalisation , 2001 .

[8]  Robert Weibel,et al.  Automated Polygon Generalization in a Multi Agent System , 2003 .

[9]  Lutz Plümer,et al.  FAST SCREEN MAP LABELING – DATA-STRUCTURES AND ALGORITHMS , 2003 .

[10]  William Mackaness,et al.  An Integrated Approach to the Generalization of Geological Maps , 2002 .

[11]  Robert Weibel,et al.  Using Vector and Raster-Based Techniques in Categorical Map Generalization , 1999 .

[12]  Michael Fuchs.  Methoden zur objektiven Ableitung von Bodenkarten im Folgemaßstab , 2002 .

[13]  R. McMaster,et al.  Map Generalization: Making Rules for Knowledge Representation , 1991 .

[14]  B. D. Dent,et al.  Principles of thematic map design , 1985 .

[15]  Ferjan Ormeling,et al.  Basic Cartography for Students and Technicians , 1984 .

[16]  R. Weibel,et al.  Relations and Structures in Categorical Maps , 2005 .

[17]  Robert Weibel,et al.  Modelling the Overall Process of Generalisation , 2007 .

[18]  W. F. Feringa,et al.  Colour Basics for GIS Users , 2003 .

[19]  Robert Weibel,et al.  A review and conceptual framework of automated map generalization , 1988, Int. J. Geogr. Inf. Sci..

[20]  Carsten Schwarz,et al.  Guidelines for the Compilation of Geological Maps , 2004 .

[21]  John H. Holland,et al.  Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems , 1995 .

[22]  Olaf Schnabel.  MAP SYMBOL BREWER – A NEW APPROACH FOR A CARTOGRAPHIC MAP SYMBOL GENERATOR , 2005 .

[23]  Mark Ware,et al.  Resolving Graphic Conflict in Scale Reduced Maps : Refining the Simulated Annealing Technique , 2003 .

[24]  Monika Sester,et al.  Optimization approaches for generalization and data abstraction , 2005, Int. J. Geogr. Inf. Sci..