摘要：This paper proposes a method of utilizing spatial information to improve predictionsin one dimensional time series analysis using singular spectrum analysis (SSA). It em-ploys inverse distance weighting for spatial averaging and subsequently multivariatesingular spectrum analysis (MSSA) for enhanced forecasts. The technique is exempli-fied on a data set for rainfall recordings from Upper Austria
