We discuss the experiences and results of the AppStatUZH team’s participation in the comprehensive and unbiased comparison of different spatial approximations conducted in the Competition for Spatial Statistics for Large Datasets. In each of the different sub-competitions, we estimated parameters of the covariance model based on a likelihood function and predicted missing observations with simple kriging. We approximated the covariance model either with covariance tapering or a compactly supported Wendland covariance function.

中文翻译：

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大数据空间统计竞争探讨

我们讨论了AppStatUZH团队参与大数据集空间统计竞赛中进行的不同空间近似的全面无偏比较的经验和结果。在每个不同的子比赛中，我们根据似然函数估计协方差模型的参数，并使用简单克里金法预测缺失的观测值。我们使用协方差逐渐变细或紧凑支持的温德兰协方差函数来近似协方差模型。