构建旅游地质景观分类决策树方法探讨

现代地质 ›› 2007, Vol. 21 ›› Issue (Suppl): 79-82.

构建旅游地质景观分类决策树方法探讨

庞淑英¹,杨世瑜²

1昆明理工大学计算中心,云南昆明650093；2昆明理工大学国土资源工程学院, 云南昆明650093

收稿日期:2006-09-13 修回日期:2006-12-02 出版日期:2007-08-20 发布日期:2007-08-20
作者简介:庞淑英，女，教授，博士研究生，1958年出生，计算机应用专业，主要从事数据挖掘与可视化技术研究。
基金资助:
云南省省院省校教育合作项目（kksx200121005）

Research on Building Tourism Geological Landscape Classification Decision Tree Method

PANG Shu-ying ¹, YANG Shi-yu ²

1Computer Center, Kunming University of Science and Technology, Kunming,Yunnan650093, China;
2College of Land Resource Engineering, Kunming University of Science and Technology, Kunming,Yunnan650093, China

Received:2006-09-13 Revised:2006-12-02 Online:2007-08-20 Published:2007-08-20

摘要/Abstract

摘要：

将数据挖掘技术应用于旅游地质景观分类，从多粒度层挖掘旅游地质景观分类特征属性；通过深度优先构建决策树分类模型的算法的过程，获得了景观单元区划的计算方案，对著名的三江并流旅游地质景区资源进行了定量分析。尝试性地整合了复杂的数据挖掘算法和专业性颇强的旅游地质景观理论特色，为进一步探讨地学景观资源的旅游价值可视化理论、方法及其展示效应等研究课题，奠定数据分析和研究方法基础。

关键词: 数据挖掘技术, 旅游地质景观分类, 决策树, 景观单元区划

Abstract:

The data mining technology is applied to tourism geological landscape classification.The property of tourism geological landscape is summarized from many layers. By using depth prior rule of the building decision tree model, the projects of landscape unit partition are given. The tourism geological resources for the region of Three Parallel Rivers are analyzed quantitatively. Integrating the complex data mining arithmetic and theory of the tourism geological landscape, the bases of analyzing data and studying ways are established to explore tourism values with visual theory.

Key words: data mining technique, classification of tourism geological landscape, decision tree, landscape unit partition

中图分类号:

F590.3

庞淑英,杨世瑜. 构建旅游地质景观分类决策树方法探讨[J]. 现代地质, 2007, 21(Suppl): 79-82.

PANG Shu-ying, YANG Shi-yu. Research on Building Tourism Geological Landscape Classification Decision Tree Method[J]. Geoscience, 2007, 21(Suppl): 79-82.