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Techniques for Statistical Data Visualization in GIS

Author

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  • Adriana REVEIU
  • Marian DARDALA

Abstract

This paper proposes an original solution to present statistical data using the facilities provided by the Geographical Information Systems, to improve the means of statistical data figure and distribution inside the territorial profile. The proposed solution allows to represent more statistical data sets, on the same map, using two different methods of data representation: using a color ramp to represent the territorial distribution of an aggregate indicator and a set of charts overlapped to represent the proportions of the variables that form the indicator. On the other hand, there is a way to represent statistical data using 3D cartograms. Thus, in GIS, the users can distinguish the intensity of the studied economic or social phenomenon because of the heights of the administrative units will be different.

Suggested Citation

  • Adriana REVEIU & Marian DARDALA, 2011. "Techniques for Statistical Data Visualization in GIS," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(3), pages 72-79.
    • Handle: RePEc:aes:infoec:v:15:y:2011:i:3:p:72-79
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    Citations

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    Cited by:

    1. Marian DARDALA & Adriana REVEIU, 2013. "Using Raster Based Solutions to Identify Spatial Economic Agglomerations," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(1), pages 131-143.
    2. Maris Kalinka & Sanda Geipele & Edgars Pudzis & Andrejs Lazdins & Una Krutova & Jurijs Holms, 2020. "Indicators for the Smart Development of Villages and Neighbourhoods in Baltic Sea Coastal Areas," Sustainability, MDPI, vol. 12(13), pages 1-13, June.

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