@article{Zhao:136475,
      recid = {136475},
      author = {Zhao, Fang-yin and Jia, Yong-fei and Shao, Bo and Zhu,  Yun-hai},
      title = {Forecast of Dynamic Change of Land Use Based on Cellular  Automata},
      journal = {Asian Agricultural Research},
      address = {2012-03},
      number = {1812-2016-143258},
      pages = {4},
      year = {2012},
      abstract = {Land use change is a very complex process of evolution. On  the basis of the principle of cellular automata, this  article presents a kind of method that we can first mine  state transition rule from historical map data, and then  conduct forecast by virtue of Monte-Carlo method, achieving  spatial dynamic forecast from map to map. We interpret TM  remote sensing image in Ji'nan City in 2004 and 2006 to get  present land use map for empirical research, and forecast  land use map in 2012 and 2016, respectively. Studies show  that this method of using spatial data to mine state  transition rule, has advantages of simpleness, accuracy,  strong real-time characteristic etc. in the simulation of  dynamic change of land use, the results of which are  roughly in line with the actual results, therefore, it can  provide reference for land use planning.},
      url = {http://ageconsearch.umn.edu/record/136475},
      doi = {https://doi.org/10.22004/ag.econ.136475},
}