This chapter reports on progress made in the development of techniques and tools to formalize, describe, detect and understand movement patterns in spatiotemporal data. The chapter is presented as a critical review of the relevant literature in the fields of geographical information science, data mining and knowledge discovery, and computational geometry. After discussing the nature of movement patterns, several conceptual space models accommodating movement are discussed as a preliminary for the formation of movement patterns. Then typical types of movement patterns and their signature applications are portrayed. The chapter concludes with a series of limitations to movement pattern analysis, an outlook, and a research agenda for future work.