Clutter Reduction Methods for Point Symbols in Map Mashups Jari - PowerPoint PPT Presentation

Clutter Reduction Methods for Point Symbols in Map Mashups Jari Korpi, Paula Ahonen-Rainio 28.8.2013

Contents 1. Aim of the study: Clutter reduction for map mashups 2. Classification of the clutter reduction methods 3. Criteria for evaluating the methods 4. Evaluation of the methods against the criteria 5. Example 6. Conclusions Department of Real Estate, Planning and Geoinformatics 9/20/2013 2

Map mashups = Content from different sources are overlaid on top of each other, typically thematic information on top of a background map = Often interactive tools for exploring the thematic information Department of Real Estate, Planning and Geoinformatics 9/20/2013 3

Map mashups Map mashups can vary in... symbology density usage Common problem with mashups: Clutter of symbols Department of Real Estate, Planning and Geoinformatics 9/20/2013 4

Clutter reduction in map mashups We needed to find methods that are suitable for reducing clutter in an interactive map mashup To be successful in choosing a method for a cluttered map the characteristics and needs of the case and the strengths and limitations of different methods must be known Department of Real Estate, Planning and Geoinformatics 9/20/2013 5

Clutter reduction in map mashups Because map mashups have characteristics from both maps and information visualization, methods from both disciplines should be considered Maps  generalization operators Information visualization  clutter reduction methods Department of Real Estate, Planning and Geoinformatics 9/20/2013 6

Classification of the methods cluttered Information Information Information Information Map Mashups Map Mashups Map Mashups Cartography Cartography Cartography Map Mashups Cartography visualisation visualisation visualisation visualisation Selection Selection Selection Selection Filtering Filtering Selection Selection Filtering Selection Selection Filtering Refinement Refinement Refinement Refinement Sampling Sampling Refinement Refinement Sampling Refinement Refinement Sampling Displacement Displacement Displacement Displacement Displacement Displacement Displacement Displacement Displacement Displacement Displacement Displacement Aggregation Aggregation Aggregation Aggregation Clustering Clustering Aggregation Aggregation Aggregation Aggregation Clustering Clustering changing Typification Typification Typification Typification Clustering Clustering Typification Typification Typification Typification Clustering Clustering Symbolisation Symbolisation Change size Change size Symbolisation Change size Symbolisation Change size Symbolisation Symbolisation Symbolisation Symbolisation Classification Classification Change opacity Change opacity Classification Change opacity Classification Change opacity Topological Topological Topological Topological Spatial distortion Spatial distortion Spatial distortion Spatial distortion distortion distortion distortion distortion Animation Animation Animation Animation Animation Animation Animation Animation Department of Real Estate, Planning and Geoinformatics 9/20/2013 7