The study examines the Spatial Pattern and Distribution of Crime in Suleja LGA, Niger State, Nigeria. The study used GIS and statistical methods to analyse the pattern and distribution of crime incidence in the study ...The study examines the Spatial Pattern and Distribution of Crime in Suleja LGA, Niger State, Nigeria. The study used GIS and statistical methods to analyse the pattern and distribution of crime incidence in the study area. The records of each crime incidence were geocoded. Microsoft Excel was used to collate and organise the crime entries before they were imported into the ArcGIS Pro 2.0 environment. A geodatabase was created where the spatial and aspatial data were encoded and geospatial analysis was performed. The study reveals that the crime distribution pattern is generally clustered with a Global Moran’s I index of 0.097, a Z-score of 1.87, and a P-value < 0.06. Furthermore, the study reveals that armed robbery (61), kidnapping (40), car theft (33), culpable homicide (31), rape (29), and robbery (13) cases rank the highest in crime rate. Equally, findings of the study show that Chaza, Kwamba, Madalla, Suleja central, and Gaboda are the major crime hotspot zones at 90% confidence, as analysed using the Getis-Ord Gi* (Hot spot analysis) spatial statistics tool in ArcGIS Pro 2.0. The research therefore recommends that more effort be put into fighting crime, especially in areas where there are low-security formations, as they mostly have the highest record of crimes committed. Also, the patrol units should be equipped with GPS for better surveillance and real-time tracking of criminal activities.展开更多
In crime science, understanding the dynamics and interactions between crime events is crucial for comprehending the underlying factors that drive their occurrences. Nonetheless, gaining access to detailed spatiotempor...In crime science, understanding the dynamics and interactions between crime events is crucial for comprehending the underlying factors that drive their occurrences. Nonetheless, gaining access to detailed spatiotemporal crime records from law enforcement faces significant challenges due to confidentiality concerns. In response to these challenges, this paper introduces an innovative analytical tool named “stppSim,” designed to synthesize fine-grained spatiotemporal point records while safeguarding the privacy of individual locations. By utilizing the open-source R platform, this tool ensures easy accessibility for researchers, facilitating download, re-use, and potential advancements in various research domains beyond crime science.展开更多
首先分析了地理信息系统(Geographical Information Systems,GIS)用于城市犯罪研究的优点,并回顾了国内外基于GIS的城市犯罪研究现状.然后,以2006年上海市公安局提供的犯罪数据为基础,对抢劫、敲诈勒索、盗窃和诈骗4类案件进行了数据挖...首先分析了地理信息系统(Geographical Information Systems,GIS)用于城市犯罪研究的优点,并回顾了国内外基于GIS的城市犯罪研究现状.然后,以2006年上海市公安局提供的犯罪数据为基础,对抢劫、敲诈勒索、盗窃和诈骗4类案件进行了数据挖掘分析,并运用ArcGIS进行犯罪特征的空间分析.研究结果表明,上海市外环以内,特别是城市核心区是犯罪最高发区域,同时人民广场也是上海市犯罪的"热点"地区.本研究结果有助于相关部门制订更加有效的预防和打击犯罪的策略.展开更多
将数据挖掘技术应用于反犯罪和反恐怖是目前各国安全部门的研究热点。目前国内在分析犯罪和恐怖团伙之间联系行为等方面的研究工作有限。本文主要做了下列探索:(1)建立了一个可用的基于邮件用户个性特征和情报属性的概念仿真邮件系统CEM...将数据挖掘技术应用于反犯罪和反恐怖是目前各国安全部门的研究热点。目前国内在分析犯罪和恐怖团伙之间联系行为等方面的研究工作有限。本文主要做了下列探索:(1)建立了一个可用的基于邮件用户个性特征和情报属性的概念仿真邮件系统CEM(Conceptual based EMail system),模拟潜在的犯罪和恐怖组织利用电子邮件进行通信的规律;(2)利用符合个性特征和情报属性上的正态分布,模拟真实的邮件进行数据的收发;(3)使用社会网络分析和时间序列分析方法对邮件通信量进行深层次分析,挖掘有意义的邮件通信模式,进而发现异常通信行为;(4)通过实验证明CEM系统具有很好的鲁棒性和伸缩性,可以准确地模拟大量用户的邮件收发,解决了目前仿真数据不足的缺点,并用于发现不同性格特征群体收发邮件的规律。展开更多
文摘The study examines the Spatial Pattern and Distribution of Crime in Suleja LGA, Niger State, Nigeria. The study used GIS and statistical methods to analyse the pattern and distribution of crime incidence in the study area. The records of each crime incidence were geocoded. Microsoft Excel was used to collate and organise the crime entries before they were imported into the ArcGIS Pro 2.0 environment. A geodatabase was created where the spatial and aspatial data were encoded and geospatial analysis was performed. The study reveals that the crime distribution pattern is generally clustered with a Global Moran’s I index of 0.097, a Z-score of 1.87, and a P-value < 0.06. Furthermore, the study reveals that armed robbery (61), kidnapping (40), car theft (33), culpable homicide (31), rape (29), and robbery (13) cases rank the highest in crime rate. Equally, findings of the study show that Chaza, Kwamba, Madalla, Suleja central, and Gaboda are the major crime hotspot zones at 90% confidence, as analysed using the Getis-Ord Gi* (Hot spot analysis) spatial statistics tool in ArcGIS Pro 2.0. The research therefore recommends that more effort be put into fighting crime, especially in areas where there are low-security formations, as they mostly have the highest record of crimes committed. Also, the patrol units should be equipped with GPS for better surveillance and real-time tracking of criminal activities.
文摘In crime science, understanding the dynamics and interactions between crime events is crucial for comprehending the underlying factors that drive their occurrences. Nonetheless, gaining access to detailed spatiotemporal crime records from law enforcement faces significant challenges due to confidentiality concerns. In response to these challenges, this paper introduces an innovative analytical tool named “stppSim,” designed to synthesize fine-grained spatiotemporal point records while safeguarding the privacy of individual locations. By utilizing the open-source R platform, this tool ensures easy accessibility for researchers, facilitating download, re-use, and potential advancements in various research domains beyond crime science.
文摘首先分析了地理信息系统(Geographical Information Systems,GIS)用于城市犯罪研究的优点,并回顾了国内外基于GIS的城市犯罪研究现状.然后,以2006年上海市公安局提供的犯罪数据为基础,对抢劫、敲诈勒索、盗窃和诈骗4类案件进行了数据挖掘分析,并运用ArcGIS进行犯罪特征的空间分析.研究结果表明,上海市外环以内,特别是城市核心区是犯罪最高发区域,同时人民广场也是上海市犯罪的"热点"地区.本研究结果有助于相关部门制订更加有效的预防和打击犯罪的策略.
文摘将数据挖掘技术应用于反犯罪和反恐怖是目前各国安全部门的研究热点。目前国内在分析犯罪和恐怖团伙之间联系行为等方面的研究工作有限。本文主要做了下列探索:(1)建立了一个可用的基于邮件用户个性特征和情报属性的概念仿真邮件系统CEM(Conceptual based EMail system),模拟潜在的犯罪和恐怖组织利用电子邮件进行通信的规律;(2)利用符合个性特征和情报属性上的正态分布,模拟真实的邮件进行数据的收发;(3)使用社会网络分析和时间序列分析方法对邮件通信量进行深层次分析,挖掘有意义的邮件通信模式,进而发现异常通信行为;(4)通过实验证明CEM系统具有很好的鲁棒性和伸缩性,可以准确地模拟大量用户的邮件收发,解决了目前仿真数据不足的缺点,并用于发现不同性格特征群体收发邮件的规律。
