Semantic similarity among geospatial entity classes is an important theoretic problem in categorical database generalization.
地理空间实体类型语义相似度对于类型数据库综合具有重要理论意义。
In this paper, a new query method which is based on generalization hierarchy in Object Oriented Database (OODB) is proposed.
针对面向对象的数据库(OODB)的概括继承结构提出一种新的查询途径，它建立在一种对象表示的基础上。
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。
Within the sample database range, generalization precisions of identification and prediction are within 5% when convergence precision is within 0.1%.
在样本数据范围内，当模型的收敛精度为0.1%时，识别和预测的泛化精度均在5%以内。
Ideally, a variety of smaller scale spatial data can be automatically derived from a large scale spatial database. That requires model generalization technology in the GIS environment.
理想的情况是能够从大比例尺空间数据库自动衍生各种小比例尺空间数据，即实施GIS环境下的模型综合。
Ideally, a variety of smaller scale spatial data can be automatically derived from a large scale spatial database. That requires model generalization technology in the GIS environment.
理想的情况是能够从大比例尺空间数据库自动衍生各种小比例尺空间数据，即实施GIS环境下的模型综合。
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