Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map

Allan, 1998, Virtual water: a strategic resource global solutions to regional deficits, Ground Water, 36, 545, 10.1111/j.1745-6584.1998.tb02825.x Bache, 2013 Carr, 2012, On the temporal variability of the virtual water network, Geophys. Res. Lett., 39, 10.1029/2012GL051247 Cereghino, 2009, Review of the self-organizing map (SOM) approach in water resources: commentary, Environ. Model Softw., 24, 945, 10.1016/j.envsoft.2009.01.008 Chappell, 1993, The temporal Kohønen map, Neural Netw., 6, 441, 10.1016/0893-6080(93)90011-K Ercin, 2013, Sustainability of national consumption from a water resources perspective: the case study for France, Ecol. Econ., 88, 133, 10.1016/j.ecolecon.2013.01.015 Guo, 2006, A visualization system for space–time and multivariate patterns (vis-stamp), IEEE Trans. Vis. Comput. Graph., 12, 1461, 10.1109/TVCG.2006.84 Hastie, 2009 Hoekstra, 2012, The water footprint of humanity, Proc. Natl. Acad. Sci. U. S. A., 109, 3232, 10.1073/pnas.1109936109 Hoekstra, 2011 Kalteh, 2008, Review of the self-organizing map (SOM) approach in water resources: analysis, modelling and application, Environ. Model Softw., 23, 835, 10.1016/j.envsoft.2007.10.001 Kaski, 1996, Exploratory data analysis by the self-organizing map: structures of welfare and poverty in the world Kohonen, 1988, The ‘neural’ phonetic typewriter, Computer, 21, 11, 10.1109/2.28 Kohonen, 1991 Kohonen, 1993, Things you haven't heard about the self-organizing map Kohonen, 1998, The self-organizing map, Neurocomputing, 21, 1, 10.1016/S0925-2312(98)00030-7 Kohonen, 2001, vol. 30 Kohonen, 2013, Essentials of the self-organizing map, Neural Netw., 37, 52, 10.1016/j.neunet.2012.09.018 Konar, 2011, Water for food: the global virtual water trade network, Water Resour. Res., 47, 10.1029/2010WR010307 Mekonnen, 2011, The green, blue and grey water footprint of crops and derived crop products, Hydrol. Earth Syst. Sci., 15, 1577, 10.5194/hess-15-1577-2011 Park, 2003, Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters, Ecol. Model., 160, 265, 10.1016/S0304-3800(02)00258-2 Samad, 1992, Self-organization with partial data, Netw. Comput. Neural Syst., 3, 205, 10.1088/0954-898X/3/2/008 Sarlin, 2013, Self-organizing time map: an abstraction of temporal multivariate patterns, Neurocomputing, 99, 496, 10.1016/j.neucom.2012.07.011 Sarlin, 2013, Clustering of the self-organizing time map, Neurocomputing, 121, 317, 10.1016/j.neucom.2013.04.007 Shanmuganathan, 2006, Self-organising map methods in integrated modelling of environmental and economic systems, Environ. Model Softw., 21, 1247, 10.1016/j.envsoft.2005.04.011 Suweis, 2013, Water-controlled wealth of nations, Proc. Natl. Acad. Sci. U. S. A., 110, 4230, 10.1073/pnas.1222452110 Tamea, 2013, Local and global perspectives on the virtual water trade, Hydrol. Earth Syst. Sci., 17, 1205, 10.5194/hess-17-1205-2013 UN Water, 2009 Vesanto, 1999, SOM-based data visualization methods, Intell. Data Anal., 3, 111, 10.1016/S1088-467X(99)00013-X Vesanto, 2000, Neural network tool for data mining: SOM toolbox Vesanto, 2000, Clustering of the self-organizing map, IEEE Trans. Neural Netw., 11, 586, 10.1109/72.846731