It is often desirable to consider an object’s movement over space and time from the perspective of different levels of detail or granularity. Changing to a more detailed view uncovers information that otherwise is unknown. Conversely, moving to a simpler view can improve our understanding of the movement patterns of an object. This paper considers shifts in granularity over geospatial lifelines. A geospatial lifeline is a time-stamped record of all the locations that an object has occupied over a period of time. An approach to modeling lifelines at different granularities is presented, identifying different aspects of lifelines that are relevant at refined or coarse granularities.