A multiple representation data model based on state and behavior
Jingzhong Li, Tinghua Ai · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
The representations of spatial data over scale space have some properties, such as limitation, polymorphism and hierarchy and so on. Firstly, the spatial data can only be represented on a limted scale range||S0, SE||, which can be considered as the representation lifespan. Secondly, druing the representaion lifespan, the spatial data may be describled by different geometry types and semantic structures. Thirdly, the changes between two consecutive representaions may be abrupt or gradual. Usually the abrupt changes are the cumulations of many gradual changes. We can consider the representations related to abrupt changes as the key frames, and the others as the general frames. Based on these properties, this paper presents a multiple representaion data model based on state and behavior, which includes two basic elements, the key frames and the scale transformation operations, the former sketching the blueprint and the latter constructing the intermedial states. If we denote the key frames as a state set G, and the scale transformations as a behavior set F, then the representation at any scale point can be calculated by this formula: Rs=f(g,s), f∈F , g∈G and s∈[S0, SE].