![Sample our Urban Studies journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/110826/TOC-Subject-Sample-2021-Urban-Studies.jpg"})
Abstract
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 has been proposed to capture the variability of colocation across areas. Our research advances this line of work by developing a simulation-based statistical 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 because 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.
既有的以点为基础的共同区位方法中, 多半是全球性的方法 (例如连接计数统计, 二元K函数, 以及全球共同区位商数) 。晚近则提出诸如地方共同区位商数之地方指标, 以捕捉各地共同区位的变异。我们的研究, 透过建立一个以模拟为基础的共同区位商数 (LCLQ) 地方指标之统计检验, 推进上述的工作。本研究将该指标应用至检视土地使用设施和犯罪模式的关联性。此外, 我们除了使用传统的欧几里德距离之外, 亦使用路网距离来定义邻里, 因为人类活动 (包含设施与犯罪) 经常沿着路网发生。该方法应用至中国江苏省中某城市的三种犯罪类型与三种设施范畴的共同区位之分析。研究发现, 证实了本文所提出方法在犯罪与设施共同区位分析以及一般的点数据共同区位分析上的价值。
Muchos de los métodos de colocación existentes basados en puntos son medidas globales (e.g., estadística de conteo de cercanos, función K cruzada y cociente global de colocación). Más recientemente ha sido propuesto un indicador local, el cociente local de colocación, para capturar la variabilidad de colocación a través de áreas. Nuestra investigación hace avanzar esta línea de trabajo al desarrollar un test estadístico basado en simulación para el cociente del indicador local de colocación (LCLQ, acrónimo en inglés). El estudio aplica el indicador para examinar la asociación de las facilidades relacionadas con el uso del suelo con los patrones delictivos. También, usamos la distancia de la red de calles en adición a la distancia euclidiana tradicional para definir vecinos debido a que las actividades humanas (incluyendo facilidades y delitos) ocurren usualmente a lo largo del tejido de calles. Se aplicó el método para analizar la colocación de tres tipos de delitos y tres categorías de facilidades en una ciudad de la Provincia de Jiangsu, China. Los descubrimientos demuestran el valor del método propuesto en el análisis de colocación de delitos y facilidades y, en general, en el análisis de colocación de datos de punto.
Funding
The support of an Economic Development Assistantship from the Graduate School of Louisiana State University to Yujie Hu is gratefully acknowledged.
Additional information
Notes on contributors
Fahui Wang
FAHUI WANG is James J. Parsons Professor in the Department of Geography and Anthropology at Louisiana State University, Baton Rouge, LA 70803. E-mail: [email protected]. His research interests include spatially integrated social sciences, public policy, and planning.
Yujie Hu
YUJIE HU is a PhD student in the Department of Geography and Anthropology at Louisiana State University, Baton Rouge, LA 70803. E-mail: [email protected]. His research interests include GIS, spatial analysis methods, and transportation.
Shuai Wang
SHUAI WANG was a graduate student in the College of Resources, Environment and Tourism at Capital Normal University, Beijing 100048, China, when this research was conducted. She now works for a local government agency in Beijing, China. E-mail: [email protected]. Her research interests include GIS and spatial analysis.
Xiaojuan Li
XIAOJUAN LI is a Professor in the College of Resources, Environment and Tourism at Capital Normal University, Beijing 100048, China. E-mail: [email protected]. Her research interests include GIS, remote sensing, and other geospatial technologies.