IntroductionStimulated by the deep relationships between temporal and spatial data there has recently been an increasing interest in integrating database support for both kinds of data and in designing spatio-temporal databases. Spatio-temporal databases deal with spatial objects that change over time (for example, they move, they grow, or they alter their shape): cars, planes, people, animals, ..., storms, lakes, forests, etc. Hence, database systems, in particular, spatial and temporal database systems, and geographical information systems (GIS) need to be appropriately extended to handle this kind of information. Of particular interest is, of course, the development of simple but powerful query languages that allow one to ask for changes in spatial relationships, for instance: "Has a tornado ever crossed Iowa?" or "Which planes were able to avoid a certain blizzard?". A formal foundation for these kinds of queries is given by the concept of spatio-temporal predicates [16]. Whereas it is possible to identify a relatively small set of spatial predicates [10], it is almost impossible to do so in the spatio-temporal case, simply because there are too many of them. Thus, there is a very strong need for a simple way of specifying spatio-temporal situations, and a visual notation can be extremely helpful here. This paper continues our previous work [15,17] aiming at proposing a visual language for spatio-temporal predicates. The main idea is to graphically represent the temporally changing evolution of a spatio-temporal object (like a