Coupling random forest, allometric scaling, and cellular automata to predict the evolution of lulc under various shared socioeconomic pathways

HIGHLIGHTS

  • who: Jiangfu Liao and collaborators from the Computer Engineering College, Jimei University, Xiamen, China have published the article: Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways, in the Journal: (JOURNAL)
  • what: This study proposes a modeling framework to determine the scaling relationship between the population and urban area and simulates the spatiotemporal dynamics of land use and land cover (LULC). The transition probability matrix of the Markov model objectively reflects the status of land-use conversion between different land-use types and is suitable . . .

     

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