Modeling of cellular automata and its simulation of land use change in Nanning City based on artificial neural network

Jiacan Su; Jinping Li; Ge Mai

doi:10.1117/12.2667318

10 February 2023 Modeling of cellular automata and its simulation of land use change in Nanning City based on artificial neural network

Jiacan Su, Jinping Li, Ge Mai

Author Affiliations +

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255231 (2023) https://doi.org/10.1117/12.2667318
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Urban expansion is a complex spatiotemporal conversion process. Cellular automaton (CA) is a grid dynamic with features including spatiotemporal discrete and state concise, using simple local rules to simulate the spatiotemporal evolution process of the complex systems. Based on the principle of cellular automata, the Artificial Neural Network Cellular Automata (ANN-CA) model of Geographic Simulation Optimization System (GeoSOS) platform is applied to simulate the land use status of Nanning during 2000-2010 and 2010-2020. The simulation results indicate that the expansion direction of Nanning City in 2030 is along the Yongjiang River, which is more in line with the future land planning direction of Nanning City. The simulation results can provide valuable reference information and useful data in making macro decisions and in planning land-use by government agencies.

Citation Download Citation

Jiacan Su, Jinping Li, and Ge Mai "Modeling of cellular automata and its simulation of land use change in Nanning City based on artificial neural network", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255231 (10 February 2023); https://doi.org/10.1117/12.2667318

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