We extend Temporal Annotated Constraint Logic Programming (TACLP) in order to obtain a framework where both temporal and spatial information can be dealt with and reasoned about. This results in a conceptually simple, uniform setting, called STACLP (Spatio-Temporal Annotated Constraint Logic Programming), where temporal and spatial data are represented by means of annotations that label atomic first- order formulae. The expressiveness and conciseness of the approach are illustrated by means of some examples: Definite, periodic and indefinite spatio-temporal information involving time-varying objects and properties can be handled in a natural way.