Describing the levels of detail for the analysis of spatio-temporal events

Spatio-temporal events are collected at high levels of detail (LoDs) in many phenomena. Both spatial and temporal characteristics of data can be expressed at different LoDs. Depending on the level of detail, different spatiotemporal patterns can be detected, and in some specific cases spatio-temporal patterns are just detected in some LoDs [1]. It is crucial to model spatio-temporal phenomena having in mind that different LoDs can be useful. We proposed a granularity theory devised to model spatio-temporal phenomena at multiple LoDs [2]–[4]. We aim to enhance the granularity theory in order to reason with different LoDs for a specific phenomenon. The goal is to moving towards an approach capable of identifying the appropriate level(s) of detail to look for a spatio-temporal pattern.