An evaluation of measures for quantifying map information |
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| Authors: | Lars Harrie Hanna Stigmar |
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| Institution: | 1. GIS Centre, Lund University, Sölvegatan 12, SE-223 62 Lund, Sweden;2. National Land Survey of Sweden, SE-801 82 Gävle, Sweden;1. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, P.O. Box 217, 7500AE Enschede, The Netherlands;2. Wuhan University, National Engineering Center for Multimedia Software, School of Computer, Hubei 430079, PR China;1. Business Systems and Analytics Department, Lindback Distinguished Chair of Information Systems and Decision Sciences, La Salle University, Philadelphia, PA 19141, USA;2. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany;3. Department of Mathematics and Statistics, York University, Toronto M3J 1P3, Canada;4. Polo Tecnologico IISS G. Galilei, Via Cadorna 14, 39100 Bolzano, Italy;5. Departamento de Economía Aplicada II, Facultad de Económicas, Universidad Complutense de Madrid, Campus de Somosaguas, 28223 Pozuelo, Spain |
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| Abstract: | A real-time map must not contain too much information. Therefore, we need measures of map information that could be guidelines for the selection of data layers and the real-time generalisation process. In this paper we evaluate measures of the amount of information and the distribution of information. The evaluation is performed by (1) defining measures, (2) implementing the measures, (3) computing the measures for some test maps, and finally (4) comparing the values of the measures with human judgement of the map information. For amount of information, we found that the measures number of objects, number of points and object line length had better correspondence with human judgement than object area. We also found that measures based on the size of Voronoi regions of objects (respectively points) can be used for identifying the distribution of information. The results are based on the testing of only building objects. Future work should extend the test, using all object types. |
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