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基于地理信息元组的分类预测理论及应用——以中亚矿集区预测为例
引用本文:陈川,周可法,薛重生,孙宝生,张晓帆.基于地理信息元组的分类预测理论及应用——以中亚矿集区预测为例[J].干旱区地理,2007,30(4):65-572.
作者姓名:陈川  周可法  薛重生  孙宝生  张晓帆
作者单位:1. 中国地质大学城市遥感信息研究所,湖北,武汉,430074;新疆大学资源与环境科学学院,新疆,乌鲁木齐,830046
2. 中科院新疆生态与地理研究所GIS重点实验室,新疆,乌鲁木齐,830011
3. 中国地质大学城市遥感信息研究所,湖北,武汉,430074
4. 新疆大学资源与环境科学学院,新疆,乌鲁木齐,830046
基金项目:国家重点基础研究发展规划项目(2001CB409809),国家科技支撑计划重点项目(2006BAB07B07),新疆科技厅攻关项目200633132资助
摘    要:地理信息科学的迅速发展为矿集区预测提供了新的理论依据,使地理信息理论、相应的技术方法组合及应用的整体研究成为可能。在大量理论和实验研究的基础上提出了基于地理信息元组的分类预测理论体系,该理论体系由六个概念、一个空间信息本质、两个空间信息特性以及六个空间信息相关方法和约定的构成。并在该理论体系基础上结合空间数据分析方法和探索式空间数据分析方法,建立了基于地理信息元组的分类预测模型。应用该模型在中亚区域实现了Au矿集区预测目标。为中亚成矿域中其它区域(如新疆)的矿集区预测研究奠定了理论与方法论基础。

关 键 词:地理信息元组  分类预测理论  矿集区预测  中亚
收稿时间:2006-09-03
修稿时间:2007-01-11

Geographic information tuple based classification assessment theory and application-a case of the Central Asia
CHEN Chuan,ZHOU Ke-fa,XUE Chong-sheng,SUN Bao-sheng,ZHANG Xiao-fan.Geographic information tuple based classification assessment theory and application-a case of the Central Asia[J].Arid Land Geography,2007,30(4):65-572.
Authors:CHEN Chuan  ZHOU Ke-fa  XUE Chong-sheng  SUN Bao-sheng  ZHANG Xiao-fan
Institution:1 Urban Telemetric Research Institute, China University of Geosciences, Wuhan 430074, Hubei, China; 2 Resources and Environment Department, Xinjiang University, Urumqi 830046, Xinjiang, China ; 3. Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Urumqi 830011, Xinjiang,China
Abstract:The fast development of geographic information science provides new theoretic foundation for metallogenic district mapping.It makes the systematic research on geographic information applying theory,techniques combination and application possible.In this paper,by great deal of theoretical and experimental research,a new theory was put forward,which is geographic information tuples based classification assessment theory.The theory consists of six concepts,one spatial information essence,two spatial information specialties and six processing agreements of spatial information.Based on the theoretic system,combining spatial data analysis and exploratory spatial data analysis,a classification assessment model was constructed and using the model,Au metallogenic district mapping in Central Asia was carried out and ideal results was obtained.The theory and the model can be regarded as the theoretical and methodological foundation for metallogenic district mapping in other districts.
Keywords:geographic information tuples  classification assessment theory  central Asia  metallogenic districts mapping
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