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Spatial Relation Resolution and Spatial Relation Abstraction 被引量:2
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作者 AlTinghua liuyaolin 《Geo-Spatial Information Science》 2003年第4期10-16,共7页
This paper attempts toregard spatial relation transformationas an important process in map gener-alization. The spatial relation generali-zation can be divided into the compo-nents of abstraction: topology, dis-tance ... This paper attempts toregard spatial relation transformationas an important process in map gener-alization. The spatial relation generali-zation can be divided into the compo-nents of abstraction: topology, dis-tance and orientation. The concept‘ spatial relation resolution' is intro-duced to describe the constraints ofrelative spatial relation. On the basisof nine intersection models, the cardi-nal direction models and the iso-dis-tance-relation models, this paper givesthree sorts of relation resolution repre-sentations for topological, distance andorientation relation, respectively. Twomapping implementations in map gen-eralization is discussed. 展开更多
关键词 map generalization spatial relation spatial relation resolu-tion
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Categorical Database Generalization 被引量:1
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作者 liuyaolin MartinMolenaar +1 位作者 AlTinghua LIUYanfang 《Geo-Spatial Information Science》 2003年第4期1-9,26,共10页
This paper focuses on the issues of categorical database gen-eralization and emphasizes the roles ofsupporting data model, integrated datamodel, spatial analysis and semanticanalysis in database generalization.The fra... This paper focuses on the issues of categorical database gen-eralization and emphasizes the roles ofsupporting data model, integrated datamodel, spatial analysis and semanticanalysis in database generalization.The framework contents of categoricaldatabase generalization transformationare defined. This paper presents an in-tegrated spatial supporting data struc-ture, a semantic supporting model andsimilarity model for the categorical da-tabase generalization. The concept oftransformation unit is proposed in generalization. 展开更多
关键词 categorical database generalization data model hierarchy semantic evaluation model TRANSFORMATION transformation unit
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Spatial Object Aggregation Based on Data Structure, Local Triangulation and Hierarchical Analyzing Method
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作者 liuyaolin MartienMolenaar 《Geo-Spatial Information Science》 2002年第1期44-54,共11页
This paper focuses on the methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the objects with the help of spatial data structure (Formal D... This paper focuses on the methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the objects with the help of spatial data structure (Formal Data Structure),the Local Constrained Delaunay Triangulations and semantic hierarchy.The adjacent relation among connected objects and unconnected objects has been studied through constrained triangle as elementary processing unit in aggregation operation.The hierarchical semantic analytical matrix is given for analyzing the similarity between objects types and between objects.Several different cases of aggregation have been presented in this paper. 展开更多
关键词 AGGREGATION spatial object HIERARCH data model
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Discriminant Analysis on Land Grading
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作者 liuyaolin HOUYajuan 《Geo-Spatial Information Science》 2004年第2期104-107,共4页
This paper proposes the discriminant analysis on land grading after analyzing the common methods and discussing the Fisher’s discriminant in detail. Actually this method deduces the dimension from multi to single, th... This paper proposes the discriminant analysis on land grading after analyzing the common methods and discussing the Fisher’s discriminant in detail. Actually this method deduces the dimension from multi to single, thus it makes the feature vectors in n \|dimension change to a scalar, and use this scalar to classify samples. This paper illustrates the result by giving an example of the residential land grading by the discriminant analysis. 展开更多
关键词 land grading discriminant analysis fisher's discriminant
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