In the mapping of services, most of the 123 cities in the analysis were barely featured. The principal components analyses of 100 service ﬁrms’ ofﬁce distributions highlighted the important cities for particular services, a few articulator cities and a few more primary ﬁeld cities, but with the great majority of cities merely appearing in some positive ﬁelds and not in others. The reason for this is quite simple: it was the variation among service ﬁrms that was being analysed and not the variation among the cities. In this chapter I focus on the latter. I use the same interlocking model, the same large 100 × 123 service values matrix and, for the most part, the same multivariate technique, but I turn the analysis around to bring cities to the fore. Hence below I produce mappings of cities rather than of services.