Abstract
Air pollution in big cities is a major health problem. Pollutants in the air may have severe consequences in humans, creating conditions for several illness and also affect tissues and organs, and also affect other animals and crop productivity. From several years now, the air quality has been monitored by stations distributed over major cities, and the concentration of several pollutants is measured. From these data sets, and applying the data visualization capabilities of the self-organized map, we analyzed the air quality in Mexico City. We were able to detect some hidden patterns regarding the pollutant concentration, as well as to study the evolution of air quality from 2003 to 2010.
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Neme, A., Hernández, L. (2011). Visualizing Patterns in the Air Quality in Mexico City with Self-Organizing Maps. In: Laaksonen, J., Honkela, T. (eds) Advances in Self-Organizing Maps. WSOM 2011. Lecture Notes in Computer Science, vol 6731. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21566-7_32
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DOI: https://doi.org/10.1007/978-3-642-21566-7_32
Publisher Name: Springer, Berlin, Heidelberg
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