Cellular automata (CA) can reproduce global patterns and behavior from local interactions of cells and they are used increasingly to simulate complex natural and human systems. Among their attributes are their computational simplicity and their explicit representation of space and time. However,...

Cellular automata (CA) are individual-based models in which states, time, and space are discrete. Spatiotemporal dynamics emerge from the simple and local interactions of the cells. When using CA in a geographic context, nontrivial questions have to be answered about the choice of spatial scale,...

In this paper, a spatiotemporal interpolation approach for GIS modeling of urban growth dynamics is proposed. It is based on fuzzy logic theory using three different scenarios for temporal simulation, and two techniques for spatial simulation of urban change patterns. The notion of stages in the...