Can utilize the geographical data of foundation in existing GIS database based on single scale, produce mult-scale data synthetically through automatic cartographic generalization.
可以利用已有的基于单一比例尺的GIS数据库中的基础地理数据，通过自动制图综合生成多比例尺数据。
This thesis presents a data generalization algorithm based on data cube. The algorithm can clean the data for data mining and im-prove efficiency of data mining.
该文提出了一种基于数据立方体的数据泛化算法用于数据预处理，能够为数据挖掘提供良好的数据环境，提高数据挖掘的有效性。
A structural river network data model based on automated generalization oriented is developed, which contains lots of information needed by river network generalization.
建立了一种面向自动综合的河系结构化数据模型，模型包含了大量水系综合所需要的信息。
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