1. Introduction

[2]  To investigate processes in the magnetosphere-ionosphere system through auroral phenomena, it is necessary to identify and distinguish between temporal and spatial variations in the optical data. Television techniques enable us to record auroral forms with good temporal and spatial resolution. It is possible to identify temporal variations of auroral intensity by integrating a sequence of TV images over an area, using so-called keograms, or virtual "photometers." Also, we can investigate the spatial distribution of auroral luminosity in each image. However, the information provided by the spatial dynamics of auroral phenomena has so far not been fully utilized, even though this information is unique in its detail for the magnetosphere-ionosphere system as a whole. In this work we investigate the temporal dynamics, using information concerning the spatial distribution of auroral luminosity to determine the metric in "space of the images." The Grassberger-Procaccia algorithm was used to calculate the correlation integral, describing the temporal chaos in a sequence of TV images. An example of TV data processing is presented.