This paper presents a methodology for longitudinal comparative analysis of regional time series. This methodology is integrated by the sheaf of straight lines methodology, proposed by Ferrán (2011), and the multidimensional scaling analysis. The interest of this methodology is that it visualizes the similarities and differences between the dynamics of each of the regions. We present this methodology through an application to the provincial study of unemployment rates in Spain over the period 1991-2018. The results of the analysis confirm the relevance of spatial components in the evolution of the unemployment elasticity over the economic cycle.