期刊
SPATIAL STATISTICS
卷 32, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.spasta.2019.100368
关键词
Interpolation; Empirical Bayesian kriging; Prior distribution; Simulation experiment; Big data
Using Bayesian bootstrap as the informative prior distribution is a key feature of the empirical Bayesian kriging method. We evaluate correctness of the method using two large simulation experiments. We also compare empirical Bayesian kriging performance with several popular geostatistical models implemented in R using two real datasets: the average annual precipitation in South Africa and the daytime land surface temperature satellite data. Results show that empirical Bayesian kriging performs better than other predictors, and increasingly so with data complexity. (C) 2019 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据