提出一种时空一体化的时空异常探测方法,首先基于时空统计学与聚类分析构建一体化时空邻近域。进而,发展兼顾时空相关与异质性的时空异常度量方法。最后,采用一种3步骤的策略探测时空异常。应用本文方法探测中国陆地区域33年(1970年—2002年)的年平均气温时空数据中的时空异常,探测结果具有较好的可靠性,反映时空数据的时空一体化特征。同时,对时空异常的产生机理与实际意义进行分析和解释。 更多还原
【Abstract】 A novel spatio-temporal outlier detection method within the space-time framework is proposed in this paper.Firstly,a unified framework is developed for constructing spatio-temporal neighborhood,which is based on the space-time statistics and clustering analysis.Then,a spatio-temporal outlier measure involving space-time autocorrelation and heterogeneity is presented.Finally,a tree-step strategy is utilized to detect spatio-temporal outliers.Our method is employed to detect spatio-temporal outlie... 更多还原