In recent years, some methods are available for multi-scale databases, for example, Reactive-tree, BLG-tree and GAP tree. However, these methods paid more attention to the multi-scale data structure rather than map generalization knowledge rules. This paper makes an attempt dealing with the integration of multi-scale data structure model and thematic generalization knowledge rules for land use area partitioning map (Terra-type parcels). Inheriting the idea of GAP-tree, the MAPL-tree (Multi-scale data structure for Area Partitioning map of Land use) is built for describing the generalization process of the terra-type parcels. The MAPL-tree is suited for different scale retrieval. Some generalization rules are discussed for landuse area partitioning map, especially for semantic-based merging rules. Based on MAPL-tree and merging knowledge rules, this paper develops a progressive display prototype system. In the last part, we conclude the paper and our further research.
It is troublesome to set the display parameters of every feature class in feature-based zoom view. In order to solve that problem mentioned above, this paper used some data to verify raster-based map information measurement, expanded raster-based map information measurement to vector map, and then discussed how to use information amount to automatically control feature classes' display or not, rather than setting all kinds of display parameters in advance. That adaptive visualization technology would dynamically calculate the current information amount in map view. If the current information amount was below the minimal allowance value, the more detailed feature class would be overlaid on view. The technology presented in this paper was more adaptive than that technology to set display parameters beforehand.
Conference Committee Involvement (1)
International Conference on Earth Observation Data Processing and Analysis