Lars Harrie
Professor
An evaluation of measures for quantifying map information
Author
Summary, in English
A real-time map must not contain too much information. Therefore, we need measures of map information that could guideline the selection of data layers and the real-time generalisation process. In this paper we evaluate
measures of amount of information and 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 respective points) can be used for identifying distribution of information. The
results are based on the testing of only building objects. Future work should extend the test, using all object types.
measures of amount of information and 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 respective points) can be used for identifying distribution of information. The
results are based on the testing of only building objects. Future work should extend the test, using all object types.
Department/s
- Dept of Physical Geography and Ecosystem Science
- Centre for Geographical Information Systems (GIS Centre)
Publishing year
2010
Language
English
Pages
266-274
Publication/Series
ISPRS Journal of Photogrammetry and Remote Sensing
Volume
65
Issue
3
Links
Document type
Journal article
Publisher
Elsevier
Topic
- Physical Geography
Keywords
- Analysis
- Generalisation
- Cartography
- Visualization
- Simplification
Status
Published
ISBN/ISSN/Other
- ISSN: 0924-2716