分析犯罪集中地的机器学习方法：纽约市案例

IF 2.6 1区社会学 Q1 CRIMINOLOGY & PENOLOGY

Justice Quarterly Pub Date : 2024-10-04 DOI:10.1080/07418825.2024.2401938

Keungoui Kim, Young-An Kim

引用次数: 0

摘要

在先前工作的基础上，我们提出了另一种研究犯罪空间集中模式及其时间稳定性的方法。首先，我们利用抽样调查来确定高犯罪率集群。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Machine Learning Approach to Analyzing Crime Concentration: The Case of New York City

Building upon prior work, we propose an alternative way to look at the pattern of spatial crime concentration and temporal stability of it. We first identify a high-crime cluster using the sample b...

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来源期刊

Justice Quarterly CRIMINOLOGY & PENOLOGY-

CiteScore

6.90

自引率

6.20%

发文量

期刊介绍： Justice Quarterly (JQ) is an official publication of the ACJS. JQ is a refereed, multi-disciplinary journal that publishes theoretical, empirical and interpretive studies of issues related to criminal justice. JQ is indexed in Criminology and Penology Abstracts, Police Science Abstracts, Criminal Justice Periodical Index, and Criminal Justice Abstracts. In the past decade, JQ has become a premier journal and it continues to be a major forum for criminal justice related scholarship, making it an essential part of any library"s holdings.