A progressive display prototype system based on MAPL-tree and knowledge rules

摘要

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.