Although the holding of founding and subsequent elections is essential for any transition from authoritarian to democratic rule, the comparative literature on electoral system design is limited on the experience of “Third Wave” democratizers. This is especially true with respect to the interactive effects between the choice of electoral system and the spatial, i.e., geographic, distribution of the vote—a critical factor that shapes electoral outcomes in all societies, but particularly in emerging democracies because many are plural and agrarian societies. Political elites in these countries have also rarely considered the impact of alternative electoral systems when selecting a system for their country. This article addresses these gaps in the literature and practice by presenting a computational model known as a spatial decision support system or SDSS that both explores these interactive effects and facilitates electoral design. The utility of the model is then demonstrated with data from Kenya and South Africa—two emerging democracies where issues posed by the spatial distribution of the vote have given rise to demands for redesigning or modifying the electoral system.