This paper develops a spatiotemporal model for visualizing dynamic topologies of hybrid spaces. The joint representation of spatiotemporal data is a well-known problem, for example in digital twins and urban planning. There is also a lack of a basic ontology for understanding hybrid spaces. Existing concepts and types of representations of hybrid spaces are presented. The spatiotemporal model is developed in three layers. The model was tested on the occasion of an art exhibition. Range, number of interactions and response rates were recorded. Various dynamic topologies of hybrid spaces could be successfully represented. An online survey provided a positive correlation between modality and individual activity. The three-leveled model structure helps to improve class formation and software architecture in serious games or digital twins. The joint representation of real and virtual places also revealed that range and urban density are equivalent concepts. Media can be described as places. Multilocality could successfully be mapped. Modality of hybrid spaces shows new relations between media and transportation. Combinations of the examination parameters allow a large number of different dynamic topologies to be represented. Pattern recognition in hybrid spaces enables further research and user experience studies. The results of this study convey a new understanding of urban space.