Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W3, 95-98, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W3/95/2013/
doi:10.5194/isprsarchives-XL-4-W3-95-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
13 Nov 2013
Cartogram: A New Perspective to Understand the Distribution of Geopolitical Data
H. Liao and W. H. Dong State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities & School of Geography, Beijing Normal University, Beijing, China
Keywords: Cartogram, Global Competitiveness Index, Distribution, GCI Abstract. The global competitiveness index (GCI) of a country is a comprehensive indicator to measure its social-economic development, sustainability and prospects reflecting national competitiveness by World Economic Forum (WEF, 2013). Thematic maps are commonly used to visualize such geo-distributed data. Cartogram resizes the area of polygons according to a specific variable providing a new perspective to understand the distribution of country's competitiveness on world. Essentially, cartogram presents a different cognitive space which differs from the well-known geographic space. In this paper, we generate the GCI cartogram with a combination of color scheme and compare it with the traditional thematic map to gain a better understanding of the distribution of country’s competitiveness.
Conference paper (PDF, 551 KB)


Citation: Liao, H. and Dong, W. H.: Cartogram: A New Perspective to Understand the Distribution of Geopolitical Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W3, 95-98, doi:10.5194/isprsarchives-XL-4-W3-95-2013, 2013.

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