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博士生信睿的论文在ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 刊出
发布时间:2018-08-21 10:35:58     发布者:易真     浏览次数:

标题: Metaphor Representation and Analysis of Non-Spatial Data in Map-Like Visualizations

作者: Xin, R (Xin, Rui); Ai, TH (Ai, Tinghua); Ai, B (Ai, Bo)

来源出版物:ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION  卷:6 期:7  文献号: 225  DOI:10.3390/ijgi7060225   出版年:JUN 2018  

摘要:Metaphors are rhetorical devices in linguistics that facilitate the understanding of an unfamiliar concept based on a familiar concept. Map representations are usually referred to as the second language of geo-science studies, and the metaphor method could be applied to maps to visualize non-spatial data via spatial element symbols. This study performs a cross-domain application of the map representation method through a map-like visualization. The procedure first designs the map layout with the aid of the Gosper curve. Under the guidance of the Gosper curve, the leaf data items without spatial attributes are arranged on the space plane. Through the bottom-up regional integration, one can complete the construction of the map framework. Then, the cartographic method is used to complete map-like renderings that reflect different data features through diverse visualizations. The map representation advantages, such as overview sensing and multi-scale representation, are also reflected in the map-like visualization and used to identify the characteristics of non-spatial data. Additionally, the electronic map provides a series of interactive convenience features for map observation and analysis. Using the help of map-like visualizations, one can perform a series of analyses of non-spatial data in a new form. To verify the proposed method, the authors conducted map-making experiments and data analyses using real data.

入藏号:WOS:000436275700027

文献类型:Article

语种:English

作者关键词:map metaphor; non-spatial data; map-like visualization; map representation

扩展关键词: INFORMATION VISUALIZATION; DISPLAY SPATIALIZATIONS; BUSINESS INTELLIGENCE; DISTANCE; REGION

通讯作者地址:Ai, TH (reprint author), Wuhan Univ, Sch Resource & Environm Sci, 129 LuoYu Rd, Wuhan 430072, Hubei, Peoples R China.

电子邮件地址:xinrui@whu.edu.cn; tinghuaai@whu.edu.cn; tinghuaai@whu.edu.cn

地址:

[Xin, Rui; Ai, Tinghua] Wuhan Univ, Sch Resource & Environm Sci, 129 LuoYu Rd, Wuhan 430072, Hubei, Peoples R China.
[Ai, Bo] Shandong Univ Sci & Technol, Coll Geomat, 579 QianWanGang Rd, Qingdao 266590, Peoples R China.

影响因子:1.723


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