土地覆被变化矢量蜂窝自动机模型的适用性和敏感性分析

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES Computers Environment and Urban Systems Pub Date : 2024-02-17 DOI:10.1016/j.compenvurbsys.2024.102090
Yao Yao , Ying Jiang , Zhenhui Sun , Linlong Li , Dongsheng Chen , Kailu Xiong , Anning Dong , Tao Cheng , Haoyan Zhang , Xun Liang , Qingfeng Guan
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引用次数: 0

摘要

城市化引起的土地覆被变化对生态环境和社会经济增长产生了重大影响。基于矢量的单元自动机(VCA)模型是一种先进的单元自动机(CA)方法,它使用不规则单元,在模拟城市地区土地利用变化方面表现出色。然而,VCA 模型在土地覆被变化模拟中的适用性和参数设置仍是研究人员面临的挑战。针对这一问题,本研究应用了 VCA 模型和两种基于栅格的模型,即基于像素的 CA 模型和基于斑块的 CA 模型,模拟并比较了它们在模拟土地覆被变化方面的性能。结果表明,VCA 和基于斑块的 CA 更胜一筹,VCA 的 FoM 比基于像素的 CA 高 39.74%,比基于斑块的 CA 高 11.00%。VCA 可有效跟踪快速发展地区的建设用地扩张情况,而基于斑块的 CA 擅长中心城区和郊区的转移,适合更广泛的研究范围。此外,VCA 模型的空间尺度敏感性分析表明,较小的 VCA 单元尺寸可以提高精确度,但会带来空间模式错误的风险。值得注意的是,研究范围对 VCA 精确度的影响大于单元尺寸。这些发现加强了土地覆被变化建模理论,并为未来精确的土地覆被变化模拟和决策提供了启示。
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Applicability and sensitivity analysis of vector cellular automata model for land cover change

Urbanization-induced land cover changes significantly impact ecological environments and socioeconomic growth. Vector-based cellular automata (VCA) models are an advanced cellular automata (CA) method that use irregular cells and perform well in simulating land use changes within urban areas. However, the applicability and parameter setting of VCA models for land cover change simulation are still challenging for researchers. To address this issue, this study applied a VCA model and two raster-based models, i.e., a pixel-based CA model and a patch-based CA model, to simulate and compare their performance in simulating land cover changes. The results show that VCA and patch-based CA were superior, with VCA's FoM being 39.74% higher than pixel-based CA and 11.00% over patch-based CA. VCA effectively tracks construction land expansion in rapidly developing areas, while patch-based CA excels in central urban and suburban shifts, fitting broader study scopes. Additionally, a spatial scale sensitivity analysis of the VCA model revealed that a smaller VCA cell size improves accuracy but introduces a risk of spatial pattern errors. Notably, the scope of study impacts VCA accuracy more than cell size. These findings bolster land cover change modeling theory and offer insights for precise future land cover change simulations and decision-making.

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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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