Open AccessPrediction of the space-time state of systems using geospatial data for assessing technological risks
Author(s) -
Tatiana Yu. Bugakova
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/395/1/012073
Subject(s) - geospatial analysis , exponential smoothing , smoothing , computer science , state space , data mining , state (computer science) , spacetime , space (punctuation) , exponential function , data science , algorithm , mathematics , geography , statistics , remote sensing , physics , mathematical analysis , quantum mechanics , computer vision , operating system
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.