Abstract: This paper presents a data model for cyclic geographic events useful for nextgeneration geographic information system design. The paper introduces a structure that captures all possible temporal relations between occurrences of cyclic events, as well as the frequency in which each temporal relation occurs. Based on such a structure, this paper proposes a new set of temporal constraints and a methodology that selects from different temporal configurations of the cyclic events, the configuration that best represents the imposed temporal constraints. Key words: Temporal reasoning; temporal constraints; cyclic constraints; cyclic events.