I.9 制作的地理信息可视化地图

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André Skupin

André Skupin的主要研究兴趣包括地理信息可视化、地图概括、数据挖掘以及信息可视化。该地图通过对1993年到2002年十年间的美国地理学协会年会提交的2.2万多篇摘要计算而来。该方法将每篇文献看作是短语的n维向量。利用自组织映射(Self-Organizing Map,SOM)法,这些向量被用来建立一个地理知识领域的神经网络模型。然后,该神经网络模型被转变成两种信息模式:(1)一种是利用还把高度来标准单个主题集中的程度;(2)采用多级文本标签对不同的可视化区域进行标注。地图最终利用标准的地理信息信息(GIS)软件进行制图。

Translation by:

Yunwei Chen, Chinese Academy of Sciences.

References:

Skupin, André. 2004. “The World of Geography: Visualizing a Knowledge Domain with Cartographic Means.” PNAS 101 (Suppl. 1): 5274-5278.

Skupin, André. 2005. In Terms of Geography. Courtesy of André Skupin, San Diego State University, San Diego, CA. In “1st Iteration (2005): The Power of Maps,” Places & Spaces: Mapping Science, edited by Katy Börner and Deborah MacPherson. http://scimaps.org.

Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.