The Worldwide Network of Virtual Water with

Kriskogram

Rodolfo Metulini1

1Scuola Superiore S.Anna Pisa - Institute of Economics

Abstract

In this document some Kriskograms are used as a tool to visually analyze the

evolution over time of the worldwide Virtual Water network (yearly flows).

Plots are reported for the years 1990, 1995, 2000, 2005 and 2010.

Virtual Water; Network; Kriskograms

Acknowledgment

I would like to thanks Irina Mirkina (Lund University) to kindly shared with me her

codes. Virtual Water data are prepared by Stefania Tamea and Francesco Laio (Politec-

nico Torino) for the project “The global virtual-water network: social, economic, and

environmental implications” (FIRB - RBFR12BA3Y)

References

• Bergh, A., Mirkina, I., & Nilsson, T. (2015). Pushed by Poverty or by Institutions?

Determinants of Global Migration Flows (No. 1077).

• Sander, N., Abel, G. J., Bauer, R., & Schmidt, J. (2014). Visualising migration flow

data with circular plots (No. 2/2014). Vienna Institute of Demography Working

Papers.

• Gu, Z., Gu, L., Eils, R., Schlesner, M., Brors, B. (2014). circlize implements and

enhances circular visualization in R. Bioinformatics, btu393.

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Figure 1: 1990 VW flow. The biggest 64 countries in terms of total VW flow (totalinflows + total outflows) are reported. Reported are the links >= 180* mean(VW)

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Figure 2: 1995 VW flow. The biggest 64 countries in terms of total VW flow (totalinflows + total outflows) are reported. Reported are the links >= 180* mean(VW)

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Figure 3: 2000 VW flow. The biggest 64 countries in terms of total VW flow (totalinflows + total outflows) are reported. Reported are the links >= 180* mean(VW)

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Figure 4: 2005 VW flow. The biggest 64 countries in terms of total VW flow (totalinflows + total outflows) are reported. Reported are the links >= 170* mean(VW)

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Figure 5: 2010 VW flow. The biggest 64 countries in terms of total VW flow (totalinflows + total outflows) are reported. Reported are the links >= 170* mean(VW)

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