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WU Dafang, MA Peifang, LI Long, LI Zhaocheng, LIANG Yixuan. Spatiotemporal Variation and Factor Detection of Land Use Transition Based on Geodetector: A Case Study of Zhuhai[J]. Journal of South China Normal University (Natural Science Edition), 2023, 55(4): 50-61. DOI: 10.6054/j.jscnun.2023049
Citation: WU Dafang, MA Peifang, LI Long, LI Zhaocheng, LIANG Yixuan. Spatiotemporal Variation and Factor Detection of Land Use Transition Based on Geodetector: A Case Study of Zhuhai[J]. Journal of South China Normal University (Natural Science Edition), 2023, 55(4): 50-61. DOI: 10.6054/j.jscnun.2023049

Spatiotemporal Variation and Factor Detection of Land Use Transition Based on Geodetector: A Case Study of Zhuhai

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  • Received Date: December 17, 2021
  • Available Online: November 09, 2023
  • In order to explore the regional land use transformation pattern, based on the theoretical framework of land use transformation and the interpreted data of Landsat satellite remote sensing images of Zhuhai for five periods in 1973, 1988, 1998, 2008 and 2018, the spatiotemporal variation characteristics of land use transition in the recent 45 years were analyzed by using land use transition amplitude and speed model, spatial transfer matrix and kernel density model, and the driving factors were quantitatively studied by using geographic detector model. The conclusions are as follows: (1) In the past 45 years, the area of construction land in Zhuhai has continued to increase, with an attitude of 19.42%, and cultivated land is the most important source of the increase of construction area. The area of cultivated land and forest land has decreased. (2) The regional differences of the spatial pattern of land use in Zhuhai are relatively obvious, and the hot spots of land use transition show the overall trend of gradually spreading from Xiangzhou District in the east to Doumen District and Jinwan District in the west. (3) Natural environmental factors, social and economic factors and traffic location factors are the leading driving factors of land use transition in Zhuhai. Population density plays the biggest driving role in land use transformation and its q value representing the degree to which the factor explains the land-use transition is 0.295 6. The q value of slope, elevation, output value of secondary industry and output value of tertiary industry are all between 0.2 and 0.3. The common driving effect of multiple factors is greater than that of single factors. Among them, the interaction between slope and the output value of the secondary industry has the strongest impact on the land use transition, with the q value of 0.376 8, and the q value of the interaction between natural environmental factors and socio-economic factors is basically above 0.3.
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