In ambient intelligence systems, it is necessary to represent and reason about dynamic spatial scenes and configurations. Primarily; the ability to perform predictive and explanatory analyses on the basis of available sensory data is crucial toward serving a useful intelligent function within such environments. In this paper; we present a qualitative model for representing the relevant aspects of these environments in an adequate manner. The model is suited for reasoning about spatial configurations and dynamics in spatial environments. We clarify and elaborate on our ideas with examples grounded in a smart home environment.