This chapter presents spatial data mining techniques applied to support land use mapping. The area of study is in São Paulo municipality. The methodology is presented in three items: extraction, transformation and first analysis; knowledge discovering and supporting rules evaluation; image classification support. The combined inferences resulted in a good improvement in the digital image classification with the contribution of Census data.
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Neto, E.R., Hamburger, D.S. (2009). Census Data Mining for Land Use Classification. In: Cao, L., Yu, P.S., Zhang, C., Zhang, H. (eds) Data Mining for Business Applications. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-79420-4_17
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DOI: https://doi.org/10.1007/978-0-387-79420-4_17
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