@InProceedings{XavierBroc:2017:UsSpVi,
author = "Xavier, Fernando and Brochado, Maria Luiza Correa",
affiliation = "{Centro Universita\́rio do Distrito Federal (UDF)} and
{Universidade de S{\~a}o Paulo (USP)}",
title = "Use of spatial visualization for pattern discovery in
evapotranspiration estimation",
booktitle = "Anais...",
year = "2017",
editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
pages = "346--356",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "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.",
conference-location = "Salvador",
conference-year = "04-06 dez. 2017",
issn = "2179-4820",
language = "pt",
ibi = "8JMKD3MGPDW34P/3Q5DQHL",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DQHL",
targetfile = "43xavier_brochado.pdf",
urlaccessdate = "27 abr. 2024"
}