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Optimization of sample design sizes and shapes for regionalized variables using simulated annealing Ciencia e Investigación Agraria
Guedes,Luciana P.C; Uribe-Opazo,Miguel A; Ribeiro Junior,Paulo J.
The spatial variability of structures in regionalized variables are defined with the aid of geostatistical techniques, which facilitate the estimation of values for these variables in unsampled localizations and generate thematic maps to be used in decision making for localized treatments in the area under study. The quality of these maps depends on the trustworthiness of these estimates that can be modified with the choice for the sample design. The objective of this work was to establish an optimal size and shape of the sample designs in order to enhance the efficiency of sampling plans for the prediction of space dependent variables. These designs were obtained with the use of a stochastic search method called Simulated Annealing. This method is based...
Tipo: Journal article Palavras-chave: Geostatistics; Interpolation; Precision agriculture; Spatial variability.
Ano: 2014 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202014000100004
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