Time series analysis is an important field of data engineering. In this seminar we present the statistical method dedicated to time series analysis, provided the series mimic some form of the complex physical system. The method uses recurrence plot and Hurst exponent approaches. So far, the method was used for data related to molecular dynamics and climate (temperature) observations. Hence, our method tackles very important climate changes issue.