By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Li Xu ; Geomatics Coll., Shandong Sci. & Technol. Univ., Qingdao ; Qingwen Qi ; Zhongyuan Wang

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.

Published in:

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on  (Volume:4 )

Date of Conference:

18-20 Oct. 2008