太阳成8722(中国)有限公司-GREEN NO.1

标题： Point grid map: a new type of thematic map for statistical data associated with geographic points作者：Zhou, MJ (Zhou, Mengjie); Tian, J (Tian, Jing); Xiong, FQ (Xiong, Fuquan); Wang, R (Wang, Rui)

来源出版物：CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 卷：44期：5 页码:374-389 DOI：10.1080/15230406.2016.1160797 出版年：2017

摘要： Social, economic, and environmental statistical data associated with geographic points are currently globally available in large amounts. When conventional thematic maps, such as proportional symbol maps or point diagram maps, are used to represent these data, the maps appear cluttered if the point data volumes are relatively large or cover a relatively dense region. To overcome these limitations, we propose a new type of thematic map for statistical data associated with geographic points: the point grid map. In a point grid map, an input point data set is transformed into a grid in which each point is represented by a square grid cell of equal size while preserving the relative position of each point, which leads to a clear and uncluttered appearance, and the grid cells can be shaded or patterned with symbols or diagrams according to the attributes of the points. We present an algorithm to construct a point grid map and test it with several simulated and real data sets. Furthermore, we present some variants of the point grid map.

入藏号：WOS:000410842800002

文献类型：Article

语种：English

作者关键词： Thematic map; point grid maps; proportional symbol maps; point diagram maps

扩展关键词： CARTOGRAMS; VISUALIZATION; TREEMAPS

通讯作者地址： Tian, J (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China.

Tian, J (reprint author), Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan, Hubei, Peoples R China.

电子邮件地址：tianjing_sres@whu.edu.cn

地址：

[Zhou, Mengjie; Tian, Jing; Xiong, Fuquan; Wang, Rui] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China.

[Tian, Jing] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan, Hubei, Peoples R China.

研究方向： Geography

ISSN：1523-0406

eISSN: 1545-0465

影响因子：2.391