Map composition of anomalies in time series

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Authors	KOZEL Jiří ADAMEC Ludvík KÝNOVÁ Andrea
Year of publication	2018
MU Faculty or unit	Faculty of Science
Web	ukázka zdrojový repositář zdrojový repositář
Description	Software creates map compositions from stored data, including visualization of anomalies discovered in data. Map outputs can be set using the configuration file. It is also possible to define a number of time windows (eg, hourly, daily or monthly and overlapping) and to calculate aggregate values such as averages.
Related projects:	Dynamické mapovací metody orientované na řízení rizik a katastrof v éře velkých dat