• Journal of Geo-information Science
  • Vol. 22, Issue 3, 628 (2020)
Pin NIE1、1, Ming LIANG2、2、3、3、*, Yujie LI2、2、3、3, Xinyan YOU2、2、3、3, and Xiaojuan SUN4、4
Author Affiliations
  • 1School of Geography and Ocean Sciences, Nanjing University, Nanjing 210023, China
  • 1南京大学地理与海洋科学学院,南京 210023
  • 2School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
  • 2安徽大学资源与环境工程学院,合肥 230601
  • 3Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei 230601, China
  • 3安徽大学安徽省矿山生态修复工程实验室,合肥 230601
  • 4School of Resource and Environment Science, Wuhan University, Wuhan 430079, China
  • 4武汉大学资源与环境科学学院,武汉 430079
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    DOI: 10.12082/dqxxkx.2020.190569 Cite this Article
    Pin NIE, Ming LIANG, Yujie LI, Xinyan YOU, Xiaojuan SUN. Spatiotemporal Model Analysis of Land Change Process based on Nearest Spatiotemporal Distance[J]. Journal of Geo-information Science, 2020, 22(3): 628 Copy Citation Text show less
    Sketch of LUCC spatiotemporal processes extraction
    Fig. 1. Sketch of LUCC spatiotemporal processes extraction
    The schematic diagram of the process of transforming regular grid sequence into spatiotemporal point data
    Fig. 2. The schematic diagram of the process of transforming regular grid sequence into spatiotemporal point data
    Three spatiotemporal random models of LUCC evolution sequence
    Fig. 3. Three spatiotemporal random models of LUCC evolution sequence
    Study area of Huainan City
    Fig. 4. Study area of Huainan City
    Remote sensing image of Huainan City in 2010
    Fig. 5. Remote sensing image of Huainan City in 2010
    Spatial distribution of various land use types in Huainan city from2008 to 2017
    Fig. 6. Spatial distribution of various land use types in Huainan city from2008 to 2017
    Distribution of evolution types from farmland to grassland every two years from 2008 to 2017
    Fig. 7. Distribution of evolution types from farmland to grassland every two years from 2008 to 2017
    z-scorep值(概率)置信度/%显著性
    >-1.65且<1.65不显著
    <-1.65或>1.65<0.1090显著
    <-1.96或>1.96<0.0595显著
    <-2.58或>2.58<0.0199显著
    Table 1. Significance evaluation criteria of spatiotemporal random models
    最邻近指数Rz-score时空分布模式类型显著性评价
    0.3430.920时空聚集模式统计上不显著
    Table 2. Experimental results of Monte Carlo simulation experiment and significance evaluation
    Pin NIE, Ming LIANG, Yujie LI, Xinyan YOU, Xiaojuan SUN. Spatiotemporal Model Analysis of Land Change Process based on Nearest Spatiotemporal Distance[J]. Journal of Geo-information Science, 2020, 22(3): 628
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