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

机译:基于GIS和RS的区域生态环境空间数据挖掘 - 以中国张家界为例

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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.
机译:生态环境是人类生存,社会和经济发展的主要条件。区域生态环境对区域可持续发展变得越来越重要,以实现人与自然之间的和谐关系。在该过程中,可以表达空间实体的特征,属性和关系的区域生态环境空间数据扮演越来越重要的作用。因此,区域生态环境空间数据挖掘对区域可持续发展具有极大的重要意义。本文提出了基于GIS和RS的地区生态环境空间数据挖掘整体理论框架,并提出了生态环境数据库建立方法对生态环境数据的彻底分析的基础。在案例研究中,本文完成了多因素定量生态敏感性综合评价与基于区域生态环境空间挖掘理论框架的生态功能区划。

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