基于地理探测器的区域土地利用转型时空演变及因子探测——以珠海市为例

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

  • 摘要: 为探究区域土地利用转型模式,文章以土地利用转型的理论框架为基础,基于珠海市1973、1988、1998、2008、2018年5期Landsat卫星遥感影像的解译数据,运用土地利用转型幅度和速度模型、空间转移矩阵以及核密度模型等方法分析珠海市近45年间土地利用转型的时空演变特征,并采用地理探测器模型对其驱动因子进行定量研究。结果表明:(1)近45年来,珠海市的建设用地面积持续增加,动态度达19.42%,耕地为建设用地面积增加的最主要来源;耕地、林地等地类面积减少。(2)珠海市土地利用空间格局变化的区域差异较为明显,土地利用转型热点区域呈现从位于东部的香洲区逐渐蔓延至位于西部的斗门区和金湾区的整体趋势。(3)自然环境因素、社会经济因素和交通区位因素是珠海市土地利用转型的主导驱动因素,人口密度对土地利用转型的驱动作用最大,表示该因子对土地利用转型的解释程度的q值为0.295 6,坡度、高程、第二产业产值和第三产业产值的q值在0.2~0.3之间;多种因子共同驱动作用大于单因子驱动作用,其中,坡度和第二产业产值的交互作用对土地利用转型的影响最强,q值达0.376 8,自然环境因素和社会经济因素之间的交互探测q值基本在0.3以上。

     

    Abstract: 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.

     

/

返回文章
返回