论文标题
托管商的本地指标，具有统计显着性测试：检查犯罪与设施的空间关联
Local Indicator of Colocation Quotient with a Statistical Significance Test: Examining Spatial Association of Crime and Facilities
论文作者
论文摘要
大多数基于点的托管方法是全球措施（例如，加入计数统计，交叉K功能和全球托管商）。最近，提出了一个本地指标，例如本地托管商，以捕获各个地区托管的可变性。我们的研究通过为当地托管商（LCLQ）的本地指标开发基于模拟的统计测试来推动这一工作。该研究应用了指标来检查土地使用设施与犯罪模式的关联。此外，除了传统的欧几里得距离之外，我们还使用街道网络距离来定义邻居，因为人类活动（包括设施和犯罪）通常沿着街道网络发生。该方法用于分析中国江苏省一个城市的三种类型犯罪和三类设施的托管。研究结果证明了拟议方法在犯罪和设施的托管分析中的价值，以及对点数据的一般托管分析。
Most existing point-based colocation methods are global measures (e.g., join count statistic, cross K function, and global colocation quotient). Most recently, a local indicator such as the local colocation quotient is proposed to capture the variability of colocation across areas. Our research advances this line of work by developing a simulation-based statistic test for the local indicator of colocation quotient (LCLQ). The study applies the indicator to examine the association of land use facilities with crime patterns. Moreover, we use the street network distance in addition to the traditional Euclidean distance in defining neighbors since human activities (including facilities and crimes) usually occur along a street network. The method is applied to analyze the colocation of three types of crimes and three categories of facilities in a city in Jiangsu Province, China. The findings demonstrate the value of the proposed method in colocation analysis of crime and facilities, and in general colocation analysis of point data.
