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What's going on about geo-process modeling in virtual geographic environments (VGEs)

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  • Zhang, Chunxiao
  • Chen, Min
  • Li, Rongrong
  • Fang, Chaoyang
  • Lin, Hui

Abstract

Geography investigates changes in physical structures and distributions of objects in spatiotemporal world, which are shaped by geographic process (geo-process). With extensive simulation models used to study geo-process, this paper examines the status of geo-process modeling (namely model-based simulation) for multidisciplinary geo-processes across scales in virtual geographic environments (VGEs). The conceptual framework of integrated modeling in VGEs is proposed with a review of specific issues, including model sharing and management, collaborative modeling and uncertainty analysis. The contribution of a model base in model reusability and modeling management, concerning input data, parameterization, and simulation output, is detailed. Finally, this paper concludes with a discussion of future research directions for holistic geo-process modeling.

Suggested Citation

  • Zhang, Chunxiao & Chen, Min & Li, Rongrong & Fang, Chaoyang & Lin, Hui, 2016. "What's going on about geo-process modeling in virtual geographic environments (VGEs)," Ecological Modelling, Elsevier, vol. 319(C), pages 147-154.
    • Handle: RePEc:eee:ecomod:v:319:y:2016:i:c:p:147-154
    DOI: 10.1016/j.ecolmodel.2015.04.023
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    References listed on IDEAS

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    3. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    4. Shama Perveen & L. James, 2010. "Multiscale Effects on Spatial Variability Metrics in Global Water Resources Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(9), pages 1903-1924, July.
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    Cited by:

    1. Ziwei Xiao & Chunxiao Zhang, 2021. "Construction of Meteorological Simulation Knowledge Graph Based on Deep Learning Method," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    2. Chunxiao Zhang & Xinqi Zheng & Jiayang Li & Shuxian Wang & Weiming Xu, 2019. "Research in Meteorological Modeling Oriented Comprehensive Surface Complexity (CSC)," Sustainability, MDPI, vol. 11(15), pages 1-13, July.
    3. Liu, Dongya & Zheng, Xinqi & Zhang, Chunxiao & Wang, Hongbin, 2017. "A new temporal–spatial dynamics method of simulating land-use change," Ecological Modelling, Elsevier, vol. 350(C), pages 1-10.

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