Study on the Forecasting of Cultivated Land Demand Based on Gray-Markov Combinatorial Model

Research purpose: search for a scientific model suitable for the forecasting of cultivated land demand, supporting for regional comprehensive land use planning. Research method: combinatorial model, comparing results of several forecasting models and exampling. Research result: constructed gray-Markov combinatorial model for the forecasting of cultivated land demand, applied this model to the forecasting of cultivated land demand of Fuzhou, and analysed the results of Gray-Markov combinatorial model and Gray model. Research conclusion: Gray-Markov combinatorial model can forecast the cultivated land demand better than other two models, and it is feasible to apply this model to the forecasting of cultivated land demand.