Fuzzy Probability-based Landscape Prediction Model and Application

Multi-factor of regional social relates to the landscape pattern, Model can simulate the drive mechanism can result by computer simulation . This paper inferred the forecast model of fuzzy weight Markov chain. The new model which is called FWMC to predict the future, combining the character of landscape and the theory of Markov chain, value of cultivated land demand in land use planning. Factors to consider in driving conditions is used in this model, the real response to landscape pattern change position using a weighted Markov transfer based on prior forecast model . This developed the predictable method of Markov chain and widened the practice range . Finally, by using existing data to simulate the rate of change of landscape cover. Changes in landscape structure simulation predicted The author applies GIS technology and mathematics model to calculate the change of Jiangsu´ landscape for many years. The results provided the scientific basis for the development of sustainable economy. And show that the new method is more scientific and practical than traditional predictive models.