We present a novel approach to modelling the evolution of spatial entities over time by using bigraphs. We use the links in a bigraph to represent the sharing of a common ancestor and the places in a bigraph to represent spatial nesting as usual. We provide bigraphical reaction rules that are able to model situations such as two crowds of people merging together while still keeping track of the resulting crowd's historical links
