基于空间关联规则挖掘的数据格式转换研究

通过对两种传统的CAD数据到GIS数据转换方法的系统研究,分析了转换过程中存在的信息丢失等问题。基于空间数据关联规则挖掘思想,从问题着手,设计了一种全新的CAD的文本数据到GIS的点层数据的转换方案与挖掘算法。最后,以一个实际的例子,实现了对CAD的文本数据的空间关联规则挖掘,提取文本的坐标信息和属性信息,建立GIS空间数据库,并对转换的几何精度和属性精度进行了评价。

Research on data conversion based on spatial association rule mining technique

A new data conversion technique of CAD text data to GIS spatial data is presented in the paper.The data conversion from CAD to GIS is an important problem in the construction of a spatial database.The traditional data conversions include direct conversion and indirect conversion.In general,the data conversions from CAD to GIS bring in information loss including geometry and attribute information.So that design a new data conversion method is necessary.The new method and algorithm is supported by spatial association rule mining technique,and has its advantages both in the geometry and attribution accuracy.In the end,a selected example is given to demonstrate the previous result.