Publication details

Upgraded map composition of anomalies in time series

Authors

KOZEL Jiří ADAMEC Ludvík KÝNOVÁ Andrea LEITGEB Šimon GROCHAL Pavel

Year of publication 2019
MU Faculty or unit

Faculty of Science

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. Upgraded version was tested by users and use better cartographic visualization, newly suggested map symbols and enhanced principles of cartographic generalization.
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