The purpose of this paper was to compare thematic maps constructed from data sets related to soybean productivity with different regular sampling grids of 25x25 m, 50 x50 m, 75 x 75 m and 100x100 m, using kriging techniques. In the theoretical models fitted to the experimental semivariances, it was used the maximum likelihood method for parameter estimation. The comparison of thematic maps were made by accuracy indices, obtained from the error matrix. The results showed that factors such as sample size and sample density between points interfere in the choice of the theoretical spatial model, the parameter estimates and the construction of thematic maps.
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机译：本文的目的是使用克里金法，比较由大豆生产力相关数据集构建的专题图，以及25x25 m、50 x50 m、75 x 75 m和100x100 m的不同常规采样网格。在拟合实验半方差的理论模型中，采用最大似然法进行参数估计。通过从误差矩阵中获得的精度指数对专题图进行比较。结果表明，样本量和点间样本密度等因素对理论空间模型的选择、参数估计和专题图的构建都有影响。
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