This paper analyses earthquake data in the perspective of dynamical systems and frac-tional calculus (FC). This new standpoint uses Multidimensional Scaling (MDS) as a power-ful clustering and visualization tool. FC extends the concepts of integrals and derivatives to non-integer and complex orders. MDS is a technique that produces spatial or geometric representations of complex objects, such that those objects that are perceived to be similar in some sense are placed on the MDS maps forming clusters. In this study, over three million seismic occurrences, covering the period from January 1, 1904 up to March 14, 2012 are analysed. The events are characterized by their magnitude and spatiotemporal distri-butions and are divided into fifty groups, according to the Flinn-Engdahl (F-E) seismic regions of Earth. Several correlation indices are proposed to quantify the similarities among regions. MDS maps are proven as an intuitive and useful visual representation of the com-plex relationships that are present among seismic events, which may not be perceived on traditional geographic maps. Therefore, MDS constitutes a valid alternative to classic visu-alization tools for understanding the global behaviour of earthquakes.