Use of Spatial Visualization for Pattern Discovery in Evapotranspiration Estimation

Conteúdo do artigo principal

Fernando Xavier
Maria Luíza Correa Brochado


In Water Resources area, data are obtained from various sources, such as measuring instruments and satellites. Often such data may contain patterns that are not easily identified, either because of the large volume of data sets or because the analysis requires the use of several data dimensions. In this way, this study proposes the application of machine learning resources and spatial visualization to identify patterns in the estimation of an important component of the hydrological cycle: the evapotranspiration. This work is expected to contribute to an approach to estimate evapotranspiration, using spatial resources for pattern identification and model generation.


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XAVIER, F.; BROCHADO, M. L. C. Use of Spatial Visualization for Pattern Discovery in Evapotranspiration Estimation. Revista Brasileira de Cartografia, [S. l.], v. 70, n. 5, p. 1758–1778, 2018. DOI: 10.14393/rbcv70n5-45168. Disponível em: Acesso em: 27 fev. 2024.
Seção Especial "Brazilian Symposium on GeoInformatics - GEOINFO 2023"
Biografia do Autor

Fernando Xavier, Universidade de São Paulo

Graduate Program in Electrical Engineering - Polytechnic School

Maria Luíza Correa Brochado, University of Brasilia

Graduate Program in Geography - Geography Department


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