Explorando a dependência espacial da produtividade do feijão-caupi usando estatísticas globais e locais de autocorrelação na região do Cariri oriental da Paraíba
2021
This study evaluated the variability and characterizedthe spatial dependence between some soil attributes in the Eastern
Cariri microregion of Paraiba,and analyzed the spatial correlations in order to identify the interactions between such attributes in cowpea
bean(Vigna unguiculata L. Walp)production. Harvest data of the agricultural years of 2000-2017 in the Eastern Cariri microregion of Paraiba
were analyzed. Parameters of the fitted models wereestimated using the Maximum Likelihood method and the performance of the models was
evaluated based on coefficients of determination(R2), maximum log-likelihood function, and Schwarz’s Bayesian information criterion (BIC).
Correlation and spatial autocorrelation between the cowpea productivity and agrometeorological elements was detected through the spatial
analysis, using techniques such as the Moran’s index I. The study showed that, according to the performance indicators used, the spatial error
model offered better results in relation to the classical multiple regression models and the self-regressive spatial models, indicating that the
inclusion of spatial dependence in the models improves the estimate of productivity of cowpea in the microregion of Cariri Oriental da Paraiba.
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