Although GIS has been applied to many application areas, there is still a need for successful integration of the temporal dimension in current spatial data models in order to deal with the complexity of urban and environmental systems. In particular, there are a few spatio-temporal data models for representing gradual changes. The objective of this paper is to design, at the conceptual level, a...

sufficient measurements of effective parameters with suitable temporal and spatial distributions for all phenomena are needed. however, providing the data and informations are difficult and costly. so, temporal and/or spatial downscaling is of prime importance. by downscaling, one can generate data from available ones. there are diffent downscaling methods in literature but they are not compare...

Process modeling systems are complex and difficult to compare. A key attribute of any process modeling formalism or tool is time which involves how it handles and represents temporal dependencies and constraints. We are interested in doing a temporal based comparison between process modeling formalisms and tools by first converting them to a common representation. The temporal representation ch...