论文--中国科学院地理科学与资源研究所

论文

论文题目：	Causal inference in spatial statistics
第一作者：	Gao Bingbo, Wang Jinfeng, Stein Alfred, Chen Ziyue
联系作者：
发表年度：	2022
摘　　要：	Finding cause-effect relationships behind observed phenomena remains a challenge in spatial analysis. In recent years, much progress in causal inference has been made in statistics, economics, epidemiology and computer sciences, but limited progress has been made in spatial statistics due to the nonrandom, nonrepeatability and synchronism of spatial data. In this paper, we investigate the problem. We first refine the issues of causal inference, then discuss the causal inference issue in spatial statistics, next review the causal inference methods in other disciplines and analyze their potential to be used with crosssectional data, and finally we look forward prospect of causal inference in spatial statistics.(c) 2022 Elsevier B.V. All rights reserved.
英文摘要：
刊物名称：	SPATIAL STATISTICS
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论文类别：	SCI