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摘要: 目的 动态数据在空间分析中存在不确定性问题。以手机定位数据为例来识别城市中心,探索可塑性面积单元问题和不确定的地理情境问题,发现群体活动强度的空间自相关程度受到采样区域划分方式和分析单元大小的影响,地理情境的时空动态变化也会带来不确定的地理情境问题。讨论了减轻不确定性的可能方法。Abstract: Objective The spatial analysis of dynamic data faces uncertainty problems.This paper utilizes mobilephone positioning data as the example to identify the city center,and to explore the modifiable areal u-nit problem and the uncertain geographic context problem.We find that the spatial autocorrelation ofactivity density distribution is influenced by the zoning scheme and areal unit scale,while complexspatial and temporal dynamics also generate uncertainty.We also discusse possible means to mitigatethe uncertainty problems.
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