Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Application of Space-Time Series Model to the Prediction of Air Pollution Levels
Shunichiro OE
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1991 Volume 4 Issue 2 Pages 61-69


This paper deals with a prediction method of air pollution levels by using the space-time series model which considers both time lag and spatial lag to introduce the concept of spatial spread. As it is considered that the prediction accuracy is influenced by the wind direction, We propose a new method to take the information of wind direction in the model. From the simulation results, it is shown that the prediction accuracy based on the space-time series model is superior to that based on the ordinary time series model which considers time lag only.

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