.png){kind=icon}
返回
Introduction to crime forecasting
.png){kind=icon}
PRE
AI
DOI：10.1016/S0169-2070(03)00089-X.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This short paper introduces the six papers comprising the Special Section on Crime Forecasting. A longer title for the section could have been Forecasting crime for policy and planning decisions and in support of tactical deployment of police resources. Crime forecasting for police is relatively new. It has been made relevant by recent criminological theories, made possible by recent information technologies including geographic information systems (GIS), and made desirable because of innovative crime management practices. While focused primarily on the police component of the criminal justice system, the six papers provide a wide range of forecasting settings and models including UK and US jurisdictions, long- and short-term horizons, univariate and multivariate methods, and fixed boundary versus ad hoc spatial cluster areal units for the space and time series data. Furthermore, the papers include several innovations for forecast models, with many driven by unique features of the problem area and data. (C) 2003 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
Keyword:
crime forecasting
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.1
论文数:
3.1K
被引数:
9.9K
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
没有更多内容
没有更多内容