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Data Mining of Historic Hydrogeological and Socioeconomic Data Bases of the Toluca Valley, Mexico
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作者 Oliver López-Corona oscar escolero fuentes +2 位作者 Eric Morales-Casique Pablo Padilla Longoria Tomás González Moran 《Journal of Water Resource and Protection》 2016年第4期522-533,共12页
In this paper we used several data mining techniques to analyze the coevolution of hydrogeological and socioeconomical data for the Toluca Valley in Mexico. We found non trivial relations between two historic data bas... In this paper we used several data mining techniques to analyze the coevolution of hydrogeological and socioeconomical data for the Toluca Valley in Mexico. We found non trivial relations between two historic data bases that make clear that groundwater and economy may be much more linked than it was thought before. In particular, we found that hydrogeological data trends change during economical crisis and election years in Mexico. This shows that different macroeconomical policies implemented by several administrations have a direct impact in the way groundwater is used. We also found that hydrogoelogical data evolve in the direction of population transformation from rural to urban, which could represent a whole paradigm shift in groundwater management with profound repercussions in policy making. 展开更多
关键词 Data Mining ECONOMY Data Science GROUNDWATER
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