In many observational surveillance settings, the exposure of interest exhibits spatial dependence due to environmental, climatological or demographic factors. In such cases, standard approaches to causal adjustment need to be generalized to account for the dependence structure. Methods for dependent exposures have been developed in the case of longitudinal data, but have been overlooked for spatial data. This theme will investigate how conventional approaches to spatial epidemiology can be applied in the causal setting.