Conclusions and future research directions

The aim of this chapter is to review progress in spatial microsimulation as portrayed through the chapters in this book. We structure this review around four key themes which resonate throughout the book. First is the actual task of building a spatial microsimulation model – the nuts and bolts of model construction in terms of data sets required and how spatial microsimulation can add considerable value to the social sciences through data merger/integration. Second, we review progress made in terms of techniques for the creation of new spatial microdata. Third, we discuss the new contributions relating to model calibration and validation. It is these areas which have possibly developed most rapidly. Finally, we take stock of the breadth of applications given in the book in relation to both static and dynamic models. In addition to reviewing progress in these areas, we also speculate on the future research agenda.