Prediction of the space-time state of systems using geospatial data for assessing technological risks

Abstract

The article deals with the tasks of mathematical modeling and forecasting of the space-time state of systems using geospatial data for assessing technological risk. Predicted functions of changes in the space-time state of the system, obtained by the exponential smoothing method, are constructed. The article provides an example of options for changing the space-time state of an object based on the exponential smoothing method.