Journal of Geo-information Science, Volume. 22, Issue 3, 628(2020)
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Fig. 2. The schematic diagram of the process of transforming regular grid sequence into spatiotemporal point data
Fig. 3. Three spatiotemporal random models of LUCC evolution sequence
Fig. 6. Spatial distribution of various land use types in Huainan city from2008 to 2017
Fig. 7. Distribution of evolution types from farmland to grassland every two years from 2008 to 2017
Table 1. Significance evaluation criteria of spatiotemporal random models
View tableView in ArticleTable 1. Significance evaluation criteria of spatiotemporal random models
p 值（概率）置信度/% 显著性 >-1.65且<1.65 — — 不显著 <-1.65或>1.65 <0.10 90 显著 <-1.96或>1.96 <0.05 95 显著 <-2.58或>2.58 <0.01 99 显著
Table 2. Experimental results of Monte Carlo simulation experiment and significance evaluation
View tableView in ArticleTable 2. Experimental results of Monte Carlo simulation experiment and significance evaluation
最邻近指数 时空分布模式类型 显著性评价 0.343 0.920 时空聚集模式 统计上不显著
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Pin NIE, Ming LIANG, Yujie LI, Xinyan YOU, Xiaojuan SUN.
Paper Information
Received: Sep. 30, 2019
Accepted: --
Published Online: Sep. 16, 2020
The Author Email: LIANG Ming (lming@mail.ccnu.edu.cn)
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