Uso da krigagem indicatriz na avaliação da probabilidade da produtividade de soja segundo os padrões regional, estadual e nacional - DOI: 10.4025/actasciagron.v29i2.232

Rosangela Aparecida Botinha Assumpção; Miguel Angel Uribe-Opazo; Eduardo Godoy de Souza; Jerry Adriany Johann

doi:10.4025/actasciagron.v29i2.232

Indicator kriging application to evaluate the probable soybean productivity according to regional, state and national patterns - DOI: 10.4025/actasciagron.v29i2.232

Rosangela Aparecida Botinha Assumpção FAG
Miguel Angel Uribe-Opazo UNIOESTE Cascavel
Eduardo Godoy de Souza UNIOESTE Cascavel
Jerry Adriany Johann

DOI: https://doi.org/10.4025/actasciagron.v29i2.232

Abstract

The indicator kriging is a non-linear interpolation method, which refers to the application of the ordinary kriging to a transformed variable, i.e., the variable resulting from the application of a dichotomic indicator function. This paper aimed to build and evaluate thematic maps from the harvest results of the soybean productivity from 1998/1999 to 2001/2002, within an experimental area of precision agriculture, determined by the Indicator Kriging, which established as patterns the soybean production averages at regional, state and national levels. These maps allowed for the identification of regions with low and high probability of being inferior to the pattern considered.

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Author Biography

Rosangela Aparecida Botinha Assumpção, FAG

Possui graduação em Matemática pela Universidade Estadual do Oeste do Paraná (1999) e mestrado em Engenharia Agrícola pela Universidade Estadual do Oeste do Paraná (2004) . Atualmente é professor titular da Faculdade Assis Gurgacz. Tem experiência na área de Matemática , com ênfase em Matemática Aplicada. Atuando principalmente nos seguintes temas: Geoestatística, Krigagem, Krigagem indicatriz Currículo Lattes

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Published

2007-11-01

How to Cite

Assumpção, R. A. B., Uribe-Opazo, M. A., Souza, E. G. de, & Johann, J. A. (2007). Indicator kriging application to evaluate the probable soybean productivity according to regional, state and national patterns - DOI: 10.4025/actasciagron.v29i2.232. Acta Scientiarum. Agronomy, 29(2), 165-171. https://doi.org/10.4025/actasciagron.v29i2.232

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Issue

Vol 29 No 2 (2007)

Section

Agricultural Engineering - Irrigation

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