| Knox时空交互检验空间阈值确定方法 |
| |
| 引用本文： | 岳瀚,朱欣焰,呙维,佘冰,高超. Knox时空交互检验空间阈值确定方法[J]. 武汉大学学报(信息科学版), 2018, 43(11): 1719-1724. DOI: 10.13203/j.whugis20170017 |
| |
| 作者姓名： | 岳瀚 朱欣焰 呙维 佘冰 高超 |
| |
| 作者单位： | 1.武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉, 430079 |
| |
| 基金项目： | 警用地理信息技术公安部重点实验室开放基金2016LPGIT05 |
| |
| 摘 要： | Knox检验是一种常用的城市犯罪时空交互模式分析方法，但其阈值需要人为指定，这种主观的阈值确定方法存在一定随意性，因此需探索更为合理的阈值确定方法。提出利用点对平均最邻近距离作为Knox检验空间阈值的确定方法，并通过城市入室盗窃、盗窃电动车和扒窃3类事件进行实验验证。结果表明，与常见的几种阈值确定方法相比，所提方法检测出了最大数量的显著性交互事件对数，能更加充分地了解事件的真实时空交互模式，为基于Knox检验的事件时空聚集模式分析提供了一种有效的空间阈值确定手段。
|
| 关 键 词： | Knox检验 时空交互 空间阈值 时空聚类 城市犯罪 |
| 收稿时间： | 2017-08-04 |
A Method for Determining the Critical Spatial Threshold of Spatio-Temporal Interaction for the Knox Test |
| |
| Affiliation: | 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China2.Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China3.Key Laboratory of Police Geographic Information Technology, Ministry of Public Security, Changzhou 210046, China |
| |
| Abstract: | City crimes tend to be clustered spatially and temporally. Knox test is an effective way to detect such interactions, however, this method has been criticized as being subjective because the determination of critical distances is arbitrary. This paper begins with an introduction of the Knox test and some common methods to select the spatial thresholds. Then a new approach is proposed to detect critical distances based on the average nearest neighborhood distance. Burglary, electric vehicle theft and pick pocketing events in Wuhan city are used as experimental data to validate the method. Results show that, compared with four common criteria, i.e., empirical distance, mean distance, Ripley's K function threshold and natural breaks classification, the method we proposed is able to detect spatio-temporal interaction patterns of different events more effectively. The analysis results provide a reference for selecting critical distances for the Knox test. |
| |
| Keywords: | |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《武汉大学学报(信息科学版)》浏览原始摘要信息 |
|
点击此处可从《武汉大学学报(信息科学版)》下载免费的PDF全文 |
|
