NDLI: Regional Ecological Environment Spatial Data Mining Based on GIS and RS: A Case Study in Zhangjiajie, China

Content Provider	IEEE Xplore Digital Library
Author	Li Xu Qingwen Qi Zhongyuan Wang
Copyright Year	2008
Description	Author affiliation: Geomatics Coll., Shandong Sci. & Technol. Univ., Qingdao (Li Xu)
Abstract	Ecological environment is the primary condition for human being survival, social and economic development. The research of the regional ecological environment becomes more and more important to regional sustainable development in order to achieve the harmonious relationship between the person and the nature. In the process, the regional ecological environment spatial data which can express the spatial entities' features, attributes and relationships plays increasingly important role. So the regional ecological environmental spatial data mining has the extremely vital significance for regional sustainable development. This article proposes the regional ecological environment spatial data mining overall theoretical framework based on the GIS and RS and puts forward the ecological environment database establishment method on base of the thorough analysis of ecological environment data's chief feature. In the case study, the paper accomplishes multi-factors quantitative ecological sensitivity comprehensive evaluation and the ecological function regionalization based on the regional ecological environment spatial data mining theoretical framework.
Starting Page	266
Ending Page	270
File Size	1301680
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.526
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geographic Information Systems Biological system modeling ecological function regionalization. Humans Spatial databases Data mining Environmental economics Sustainable development Remote sensing ecological environment Image databases Data visualization ecological sensitivity comprehensive evaluation spatial data mining
Content Type	Text
Resource Type	Article

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