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It is of great significance to dynamically simulate and forecast the development and evolutionary of soil erosion process.Traditionally, most of soil erosion models are essentially steady-state models...
Cellular automata (CA) are individual-based spatial models increasingly used to simulate the dynamics of natural and human systems and forecast their evolution. Despite their simplicity, they can ex...
This paper describes an on-going work on the development and implementation of cellular automata based urban growth modeling using multitemporal satellite imagery. The algorithm is designed to simula...
The modelling of land features dynamics is an important factor to take into account when it is necessary to quantify or estimate the environmental changes produce by a given phenomena. It is interest...
Dynamics in nature are multi-faceted and difficult to follow. Computerized simulations offer new ways for investigating dynamic systems by incorporating their principle aspects . These simulations mi...
URBAN SIMULATION USING NEURAL NETWORKS AND CELLULAR AUTOMATA FOR LAND USE PLANNING.

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