According to the feature of mining GIS, the feature and organizing approach and constructing style of mining data were analyzed deeply in this paper.
在本论文中，结合矿井地理信息系统的特点，深入分析了矿井GIS数据的特点、组织方法、结构形式等内容。
It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation.
其本身就是一个空间知识发现和挖掘的过程，实质可归结为基于GIS的油气储层评价建模问题。
This paper places great emphasis on the study of the spatial data mining methods and their integration with GIS.
本文重点对空间数据挖掘算法及其与GIS的集成进行了研究。
The key technology of GIS when applying in the field of mining subsidence is analyzed, too.
分析了GIS在开采沉陷领域应用的关键技术问题。
Mine geography information system (MGIS) applies GIS to mine regional geography information system and provide the support for mining, design and planning of mining by the utilization of GIS.
矿山地理信息系统(MG IS)是将G IS应用于矿山的区域性地理信息系统，利用GIS为矿山生产、设计、规划等提供支持。
A statistical inductive learning approach is proposed to investigate GIS attribute data mining. This approach integrates statistical analysis with attribute oriented induction method.
将统计分析方法和面向属性的归纳方法结合起来，形成了一种应用面比较广的统计归纳学习方法，可以用于GIS属性数据挖掘。
This thesis discusses the importance of introducing GIS into the study of mining subsidence.
阐述了将地理信息系统（GIS）引入矿山开采沉陷的重要性。
As a hot topic in present GIS research, and as one of the ways of spatial data mining, the spatial autocorrelation focuses on spatial data convergence and shows that everything is related with others.
空间自相关是地理信息科学目前研究的热点问题，作为空间数据挖掘的一种手段，它着重分析了空间实体的聚集程度，阐释了事物之间普遍联系的准则。
Three-dimensional data model of geology in mine is the foundation of mining 3D GIS, and also the keystone and difficulty in the studies of GIS.
矿山地质三维数据模型是实现矿山3DGIS的基础，也是矿山3D GIS研究的重点和难点。
This paper analyzes the present situation of utilizing GIS in mining industry and points out six key respects of applying GIS in the mining information management and budget evaluation.
文章分析了GIS在矿业中的应用现状，并指出了G IS用于矿业信息管理与预算评价的六个重点。
This article based on the ideas and methods of GIS, connecting with features of mining area disaster designed the Mining area Disaster Production System(MDPS) .
根据地理信息系统的基本思想，结合矿区灾害的特点设计了矿区灾害防治系统（M DPS）。
The analytic function of GIS was used to inter - process the mining disaster data base and formed three sub - systems. This thesis also analyzed the three sub - systems.
利用G IS特有的分析功能，对矿区灾害数据库进行交互操作，形成了三个子系统，并对它们进行了分析。
In order to improve the prediction accuracy and visualization for mining-induced subsidence, research was made on the architecture of GIS-based prediction system for mining subsidence.
为了提高开采沉陷预测精度及其可视化程度，对基于G IS的开采沉陷预测系统构架进行了研究。
Mining the hidden knowledge in the spatial data of Geographic Information System (GIS) is an important direction in the study fields of GIS and data mining.
挖掘隐藏在地理信息系统(GIS)的空间数据中的知识是GIS研究领域和数据挖掘领域的重要方向。
Thus the application of Data Mining in analyzing the attributes of GIS is discussed in order to support SDSS.
因此，本文主要探讨数据挖掘在GIS属性数据方面的应用，旨在辅助空间决策支持。
The GIS technology was applied to design and develop the mining area environment support decision information system.
运用GIS技术，设计开发了矿区环境辅助决策信息系统。
By using the drawing tools and the effective spatial analytical function of GIS, the degree and scope of mining subsidence are intuitively shown.
利用G IS强大的图形表现力和空间分析能力实现开采沉陷预测的可视化，能够直观掌握开采沉陷对周围环境的影响程度及范围。
By using the drawing tools and the effective spatial analytical function of GIS, the degree and scope of mining subsidence are intuitively shown.
利用G IS强大的图形表现力和空间分析能力实现开采沉陷预测的可视化，能够直观掌握开采沉陷对周围环境的影响程度及范围。
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