Spatiotemporal hydrological analysis

Hydrological studies need an essential forward movement in the area of spatiotemporal modelling and data analysis During the last years there has been a significant increase in global spatial data available from different sources This considerable amount of data is creating the need for a change in how to approach the spatiotemporal analyses of hydrological events e g floods and droughts Currently ones often not consider the heterogeneity of the hydrological basins and the time dimension of the processes is also lacking Hydrological requirements seem to fit clearly with the advances on hybrid data driven and physically based models This manuscript addresses the idea of spatiotemporal hydrological analysis by integrating the use of pattern recognition techniques and clustering and how this can is used for droughts and floods