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Modeling land use change prediction using multi-model fusion techniques: A case study in the Pearl River Delta, China

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  • Song, Youcheng
  • Wang, Haijun
  • Peng, Xiaotao
  • Sun, Duan
  • Chen, Rui

Abstract

Cellular automata (CA) model has powerful spatial analysis capabilities and easy coupling with other models. However, the coupling based on single model and CA model is difficult to take into account both the accuracy of the model and the interpretation of the driving factors. Moreover, the "bottom-up" feature of the model makes it difficult to take into account the macro regulation. Based on this, we proposed a multi-model coupled multi-agent system (MAS), convolutional neural network (CNN) and cellular automata (CA) model for land use change simulation. Using the Pearl River Delta (PRD) as the study area, the simulation study was conducted from 2000 to 2010 as the test period and from 2010 to 2020 as the validation period, respectively. The results of the study are as follows: (1) Compared with the CNNCA model, the MAS-CNNCA model has improved accuracy validation in both the test period and the validation period, which indicates that the strong classifier composed of multiple agents as weak classifiers is more accurate in identifying the suitability of land use change. (2) The dual perspective consisting of macro-agent and micro-agent together is more profound for land use change mechanism exploration. (3) The coupling of simulation results and the geographic detector model can reveal the interactive relationship between drivers and land use change.

Suggested Citation

  • Song, Youcheng & Wang, Haijun & Peng, Xiaotao & Sun, Duan & Chen, Rui, 2023. "Modeling land use change prediction using multi-model fusion techniques: A case study in the Pearl River Delta, China," Ecological Modelling, Elsevier, vol. 486(C).
    • Handle: RePEc:eee:ecomod:v:486:y:2023:i:c:s0304380023002752
    DOI: 10.1016/j.ecolmodel.2023.110545
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    References listed on IDEAS

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    1. Zihao Zhang & Stefan Zohren & Stephen Roberts, 2018. "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books," Papers 1808.03668, arXiv.org, revised Jan 2020.
    2. Joseph Bakarji & Daniel O’Malley & Velimir V. Vesselinov, 2017. "Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3881-3898, September.
    3. Sadooghi, Seyed Ehsan & Taleai, Mohammad & Abolhasani, Somaie, 2022. "Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory," Land Use Policy, Elsevier, vol. 120(C).
    4. Xu, Hongtao & Song, Youcheng & Tian, Yi, 2022. "Simulation of land-use pattern evolution in hilly mountainous areas of North China: A case study in Jincheng," Land Use Policy, Elsevier, vol. 112(C).
    5. Chaopeng Hong & Jennifer A. Burney & Julia Pongratz & Julia E. M. S. Nabel & Nathaniel D. Mueller & Robert B. Jackson & Steven J. Davis, 2021. "Global and regional drivers of land-use emissions in 1961–2017," Nature, Nature, vol. 589(7843), pages 554-561, January.
    6. Timothy D. Searchinger & Stefan Wirsenius & Tim Beringer & Patrice Dumas, 2018. "Assessing the efficiency of changes in land use for mitigating climate change," Nature, Nature, vol. 564(7735), pages 249-253, December.
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