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陈玉敏的论文在GEOGRAPHICAL ANALYSIS 刊出
发布时间:2018-11-13 16:57:26     发布者:易真     浏览次数:

标题:A Dynamic Classification Pattern of Spatial Statistical Services Using Formal Concept Analysis

作者: Chen, Yumin; Zhou, Jiang; Wilson, John P.; Wu, Jingyang; Wu, Qianjiao;Yang, Jiaxin

来源出版物:GEOGRAPHICAL ANALYSIS 卷:50 期:4 页码:454-476 DOI10.1111/gean.12154  出版年:OCT 2018  

摘要:In ubiquitous computing environments, with advanced Information and Communication Technologies, the availability of geographical data is rapidly improving. Spatial statistical services which is based on mathematics and geographic principles provide powerful tools to mine effective information from the rapid improving data. But how to help users to find the appropriate spatial statistical service is a serious challenge. Classification which can help to organize and manage the service effectively might be the key to solve it. However, traditional classifications which start from a certain perspective such as a service function or data source usually aim at a certain application. It is fixed and does not consider both the link between the different attributes and the demands of different users. Formal concept analysis (FCA) utilizes mathematical order theory and particularly the theory of complete lattices to comprehensively express the interrelationships between attributes and objects. Based on FCA, this article provides a dynamic classification pattern which take the relationships between these services and the characteristics of ubiquitous environments into consideration to help different users to complete the expected classification that meets their demands. Moreover, with this pattern, any number of additional categories could be added to the classification scheme flexibly. Two kinds of classification results that use three kinds of sensors and data types are presented to prove the feasibility and validity of the dynamic classification pattern.

入藏号:WOS:000448171100006

文献类型:Article

语种:English

通讯作者地址:Chen, YM (reprint author), Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址:ymchen@whu.edu.cn

地址:

[Chen, Yumin; Wu, Qianjiao; Yang, Jiaxin] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
[Zhou, Jiang] Bejing Geoway Software Co Ltd, Wuhan Res Inst, Wuhan, Hubei, Peoples R China.
[Wilson, John P.] Univ Southern Calif, Spatial Sci Inst, Los Angeles, CA USA.
[Wu, Jingyang] Shaanxi Adm Surveying Mapping & Geoinformat, Xian, Shaanxi, Peoples R China.

影响因子:1.86


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