Space-Time Modelling with an Application to Regional Forecasting

Andrew D Cliff · J. Keith Ord

124 citations0/0 files storedTransactions of the Institute of British Geographers

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Spatial and Panel Data Analysis Forecasting Techniques and Applications Innovation Diffusion and Forecasting

Abstract

In this paper, we consider autoregressive, moving average and regression forecasting models which may be applied to space-time data sets. The basic structure of the models is outlined, and some of the principles involved are illustrated by an application to data given in Casetti and Semple (1969). These data describe the diffusion of tractor owner- ship in 25 states of the central U.S.A. from 1920-64.

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1977Time Series Analysis: Forecasting and Control 1972Generating Models by the Expansion Method: Applications to Geographical Research*1971A Bayesian Approach to Short-term Forecasting 1975Model Building and the Analysis of Spatial Pattern in Human Geography 1972Theoretical Geography: Some Speculations

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