题名

空間資料庫之關聯樣式探勘

并列篇名

Mining Association Pattern from Spatial Database

DOI

10.29790/JTGIS.200510.0003

作者

鄒明城(Ming-Cheng Tsou);孫志鴻(Chin-Hong Sun)

关键词

資料探勘 ; 地理資訊系統 ; 地震引致山崩 ; Data Mining ; Geographic Information System ; Earthquake-Induced Landslide

期刊名称

臺灣地理資訊學刊

卷期/出版年月

3期(2005 / 10 / 01)

页次

27 - 41

内容语文

繁體中文

中文摘要

隨著資訊科技的迅速發展,地理資訊系統在環境議題的研究上扮演越來越重要的角色。然而,傳統的資料庫管理系統與地理資訊系統,已不能充分滿足在空間決策支援上的需要,空間資料探勘的技術已越來越受重視。再者,空間資料通常是彼此交互關聯的,一種空間現象的分佈不只跟自己本身的特徵有關,更與其它鄰近空間現象有著某種程度的關聯或相互依存。本研究以集集大地震引致的山崩為案例,利用地理資訊系統強大的空間資料處理能力,將相關資料建立成提供資料探勘使用的資料倉儲。再利用關聯法則分析與等級相關分析等資料探勘技術,探索隱含於地震山崩與相關背景環境因子間的關聯樣式,獲致重要的結果,相信這樣的方法可以應用於日後其它具豐富地理資料庫的環境議題上。

英文摘要

Geographic Information Systems (GIS) is growing popularity and gaining importance in environmental applications, as the technology advances in spatial data handling and analysis. However, GIS technology still fails to meet the demand for spatial decision support fully, because it is incapable of eliciting meaningful information from volumetric multidimensional geospatial data. Recently, geospatial data mining emerges as a promising approach to meet the challenge. In particular, mining patterns of spatial association can reveal variables that may be related in some way and, therefore, can be set forth to formulate hypotheses. In this study, we analyze the association pattern between landslides induced by Chi-Chi earthquake and environmental variables to demonstrate the use of two spatial data mining techniques, association rules mining and Spearman rank correlation, to gain insights into environment settings vulnerable to landslides after Chi-Chi earthquake in central Taiwan. While the case study is specific, our approach is applicable to associate environmental variables that may address other environmental issues of interest.

主题分类 人文學 > 地理及區域研究
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