空间数据挖掘

将云理论引入空间数据挖掘领域，系统地研究了云理论用于空间数据挖掘的基础理论和方法，包括云模型的基本概念和性质、云模型的扩展模型等。

The theory of Cloud is introduced into SDM domain . The basic notion and character of Cloud , and the extended models are studied .

文中从空间数据挖掘的基本概念出发，详细阐述了空间数据的特点、空间邻接关系及其相关操作，并针对空间邻接关系给出了几种典型的空间数据挖掘方法。

From the basic conceptions of SDM , introduces characteristics of spatial data , spatial neighborhood relation and its operation . Also discusses typical spatial data mining methods based on spatial neighborhood relation .

基于Web代理的空间数据挖掘框架及实现研究

Research on the Web Agents-based Spatial Mining Framework & Its Implementation

基于Agent的分布式空间数据挖掘系统模型研究

Research of Distributed Spatial Data Mining System Model Based on Agent

WebAgent在空间数据挖掘框架中的应用

Application of Web Agent in Spatial Mining Framework

空间数据挖掘（spatialdatamining）是近年来发展起来的具有广泛应用前景的数据挖掘技术。

Spatial Data Mining is developed in recent years has broad application prospects of data mining techniques .

基于SqlServer的城市地籍空间数据挖掘探讨

Discussing spatial data mining of cadastral database based on SQL server

空间数据挖掘与GIS集成研究及应用

Research and Application of Spatial Data Mining and GIS Integration

空间数据挖掘在基于GIS的交通诱导系统中的应用

Application of Spatial Data Mining in the Transportation Guidance System Based on GIS

城市地下管网GIS中的空间数据挖掘模型设计

Design of model of spatial data mining in GIS of city underground pipelines

因此，GIS与空间数据挖掘技术的集成是十分必要的。

So the integration of GIS with spatial data mining technology is very necessary .

从这些海量数据中发现地学知识的需要使得空间数据挖掘（spatialdatamining）的产生成为必然。

The demand of discovery geographic knowledge from the huge amount of data makes the certain appearance of Spatial Data Mining .

基于SOA架构的空间数据挖掘平台的分析与设计

An Analysis and Design of Spatial Data Mining Platform Based on SOA

供水管网GIS中空间数据挖掘的研究与应用

Study and Application of Data Mining of Space Database in GIS of Water-supply Pipeline Network

空间数据挖掘与GIS技术在钉螺螺情信息中的分析与研究

The Analysis and Research on the Snail Information Based on Spatial Data Mining and GIS Technology

空间数据挖掘是数据挖掘（DATAMINING）的一个分支领域，它在遥感（Remotesense）和地理信息系统（GeographicInformationsystem，GIS）中有着广泛的应用。

Spatial data mining is a branch of Data Mining , and is widely used in Remote Sense and Geographic Information System .

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。

This paper places great emphasis on the study of the spatial data mining methods and their integration with GIS .

数字高程模型（DEM）空间数据挖掘研究

A Research on Spatial Data Mining of Digital Elevation Models

MAS应用于空间数据挖掘的研究

The Research of MAS ' Application in Spatial Data Mining

论文结束时，作者结合当前的研究状况，对GIS空间数据挖掘的未来发展方向和趋势进行了总结和展望。

At the end of the paper , the author summarizes the work and proposes the future of spatial data mining of GIS .

在其基础之上，运用空间数据挖掘中GIS的空间自相关分析方法，分析了我国人口压力空间分布模式；

Based on this , adopting spatial autocorrelation analyzing method used in spatial data mining , the author analyzed the spatial distribution pattern of population pressure .

最后，针对本文中所提到的系统的缺点和不足对GIS及空间数据挖掘技术在流程工业中进一步的应用前景做了展望。

In the end , the foreground of GIS and spatial data mining applied in process industry CIMS is discussed to solve the defect of the system .

基于IDL的考古地层空间数据挖掘研究

Research on spatial data mining of archaeological strata based on IDL

遥感图像数据挖掘（remotesensingimagemining，（ReSIM））技术不仅是图像挖掘技术在遥感领域的应用，也是空间数据挖掘技术的一个重要拓展分支。

Remote sensing image data mining isn 't only the applications of image mining in the field of remote sensing , but also a important embranchment of the spacial data mining .

考虑到空间数据挖掘中方向关系查询通常是在满足一定距离约束条件的对象之间进行，还提出了一种同时利用方向和距离约束限制R树搜索空间的查询处理算法。

Using both direction and distance constraints restricting the search space when traversing R-trees , this paper also presents an algorithm of direction relation query processing in SDM .

其次，详细介绍了关于GIS空间数据挖掘技术，包括GIS的工作原理和GIS挖掘的一些方法，为后面的开发奠定基础。

Secondly , the detailed presentation on GIS spatial data mining technologies , including GIS works and method of mining . This is the basis for future work .

提出基于Web的空间数据挖掘框架，对WBSDM研究背景、定义、特点、功能组成、体系结构、实现策略、关键技术等进行了系统地论述。

The framework of web-based spatial data mining is presented . And its background , definition , features , functions , system structure , implementation strategy , key technologies and so on are illustrated systematically . 3 .

SDSS中空间数据挖掘部件的设计与实现

The Design and Realization of Spatial Data Mining Parts in SDSS

将GIS与空间数据挖掘技术应用到流程工业CIMS中，并结合流程工业的特点，讨论了利用RoughSet理论对数据进行预处理的方法；

Applied with GIS and spatial data mining in CIMS and aimed at the characteristic of process industry , the method with rough set theory which is used to data preprocessing is discussed .

论文介绍了一种基于Rough集和云模型的空间数据挖掘模型，给出了该模型应用的一般方法与步骤，并将其应用于GIS数据分类规则挖掘。

Finally , the paper discusses a kind of spatial data mining model based on rough set and cloud model , gives the general method and procedure of this model appreciate for the classification rule mining of GIS .