Spatial statistics applied to soybean production data from Paraná State for 2003-04 to 2009-10 crop-years

Engenharia Agrícola

Victor H. R. Prudente¹  Carlos H. W. De Souza¹  Erivelto Mercante¹  Jerry A. Johann¹  Miguel A. Uribe-opazo¹ 

[1] ,UNIOESTECascavel PR

关键词: spatial correlation;    Moran's Index;    LISA index;    correlação espacial;    Índice de Moran;    LISA;   

DOI  :  10.1590/S0100-69162014000400015

来源: SciELO

【 摘 要 】

In the current study, we performed a soybean production spatial distribution analysis in Paraná State. Seven crop-year data, from 2003-04 to 2009-10, obtained from the Paraná Department of Agriculture and Supply (SEAB) were used to develop a Boxmap for each crop-year, show soybean production throughout this time interval. Moran's index was used to measure spatial autocorrelation among municipalities at an aggregate level, while LISA index local correlation. For each index, different contiguity matrix and order were used and there was a significance level study. As a result, we have showed spatial relationship among cities regarding the production, which allowed the indication of high and low production clusters. Finally, identifying main soybean-producing cities, what may provide supply chain members with information to strengthen the crop production in Paraná.

【 授权许可】

CC BY   
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