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  • 标题:Using Spatial Data Mining Techniques to Reveal Vulnerability of People and Places Due to Oil Transportation and Accidents: A Case Study of Istanbul Strait
  • 本地全文:下载
  • 作者:Abdulvahit Torun ; Sebnem Düzgün
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2006
  • 卷号:XXXVI Part 2
  • 页码:43-48
  • 出版社:Copernicus Publications
  • 摘要:Public and private organizations have legacy or operational spatial databases or non-spatial databases, which are also somehow linked to a spatial database or a spatial meaning. In addition to mission related databases, these organizations either have or access several databases comprising such as census, economic, security, image, multimedia, statistical information for planning, intelligence, decision and policy making. The extended size of these data sets makes it difficult to sear ch for meaningful patterns or relationships among data. Data mining is a technique allows researchers to overcome obstacle and discover potentially interesting and useful patterns of information embedded in large databases. Spatial data mining (SDM) differs from non-spatial data mining because of the underlying spatial data where attributes of spatial objects are affected by attributes of spatial neighbours. There is a strong relationship between modern knowledge-management and decision-making, where information extraction from great size of data is currently an important issue. Owing to the recent transitions in social and environmental issues, public and governmental organizations try to satisfy a large set of new requirements against new threats regarding natural and non-natural disasters. One way of minimizing losses, making mitigation more effective, increasing responsiveness to different types of crises/disasters, and conserving resources, is increasing the efficiency of knowledge discovery, which plays an important part in decision and policy making and implementation in the age of information. In this study, after introducing spatial data mining techniques, use of these techniques for revealing vulnerability of people and places due to oil transportation and oil/gas fires at Istanbul Boaz. (Istanbul Strait). Data is structured as a spatial data warehouse after cleaning, selection, transformation, reduction and consolidation to accomplish SDM operations
  • 关键词:Spatial Analysis; Spatial Statistics; Spatial Data Mining; Vulnerability; Spatial Data Warehousing
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