Applied in geospatial analysis characterized by the key attributes. Cellular model represents the environment. It is based on a generalized cellular automata, a two-dimensional grid where cell values change over time according to rules based on the value of adjacent cells, previous states and external inputs
1. State Variable are set of attributes that describe the automaton at a particular point in time.
2. Spatial Framework lattice of cells/ regular tesselation
3. Neighborhood Structure 'Moore' (cell plus 8 surrounding cells) or 'Von Neumann' ( cell and four cardinal neighbours)
4. Transition Rules rules that determine the state change
5. Time discrete steps