Spatiial knowledge discovery using spatial data mining method

Chi Farn Chen, Ching Yueh Chang, Jiun Bin Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Data mining has been an important technique that discovers implicit knowledge from large amount of data. Since the amount of spatial data grows rapidly, the concepts and methods of data mining have been involved in the geographic researches varies from GIS, remote sensing to environmental assessment. Among all spatial data mining algorithms, decision tree classification is commonly utilized to construct rules from a variety of datasets. In this paper, two spatial applications of decision tree classification would be addressed. In the first one, the idea is applied to find regularities hidden between land change spots and related spatial data such as digital terrain model, slope model and road map, etc. In the second application, the same scheme is utilized to find the rules concealed in the locations of invasive plants and other GIS layers like soil map, land use map and digital terrain model. The valuable information extracted by data mining in the first study is used to perform the prediction of land change locations while in the second study it helps to forecast the allocation of invasive plants. The knowledge mined in the both studies not only assists in environmental monitoring, but also shows the potential of the integration of GIS and data mining technique.

原文???core.languages.en_GB???
主出版物標題25th Anniversary IGARSS 2005
主出版物子標題IEEE International Geoscience and Remote Sensing Symposium
頁面5602-5605
頁數4
DOIs
出版狀態已出版 - 2005
事件2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
持續時間: 25 7月 200529 7月 2005

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
8

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???event.eventtypes.event.conference???2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
國家/地區Korea, Republic of
城市Seoul
期間25/07/0529/07/05

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