道路网约束下的城市事件空间点模式分析

Research on spatial pattern of city events under road network constraints

为对城市管理的资源分配提供有效的决策支持,基于道路网约束下的核密度估计和K函数方法,对城市事件的一阶和二阶空间分布特性进行分析,并与平面空间点模式分析结果进行对比。实验结果表明,相比平面空间点模式分析方法,道路网约束下的核密度估计提取的"热点"路段可直观地体现事件沿道路网的分布情况,而道路网约束下的K函数能真实地反映出事件在不同空间尺度下的聚集程度。

To provide effective decision support for resource planning in city management, this article analyzed the first-order and second-order properties of the city event distribution, using the kernel density estimation and the K-function methods under road network constraints. The results were compared with that produced by the planar point pattern methods. The results show that the ＂hotspot＂ road sections extracted by the kernel density estimation under road network constraints can more directly re- veals the distribution of events along road network, and the K-function under road network constraints more faithfully reflects soatial clusterin~ oattern in different soatial scales.