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GIS Shapefile - Crime Risk Database, MSA

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Mendeley Data2024-01-31 更新2024-06-28 收录
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https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-bes.110.600
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Crime data assembled by census block group for the MSA from the Applied Geographic Solutions' (AGS) 1999 and 2005 'CrimeRisk' databases distributed by the Tetrad Computer Applications Inc. CrimeRisk is the result of an extensive analysis of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, CrimeRisk provides an accurate view of the relative risk of specific crime types at the block group level. Data from 1990 - 1996,1999, and 2004-2005 were used to compute the attributes, please refer to the 'Supplemental Information' section of the metadata for more details. Attributes are available for two categories of crimes, personal crimes and property crimes, along with total and personal crime indices. Attributes for personal crimes include murder, rape, robbery, and assault. Attributes for property crimes include burglary, larceny, and mother vehicle theft. 12 block groups have no attribute information. CrimeRisk is a block group and higher level geographic database consisting of a series of standardized indexes for a range of serious crimes against both persons and property. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide. The crimes included in the database are the "Part I" crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. Part II crimes are not reported in the detail databases and are generally available only for selected areas or at high levels of geography. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative "overall" crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. The block group boundaries used in the dataset come from TeleAtlas's (formerly GDT) Dynamap data, and are consistent with all other block group boundaries in the BES geodatabase. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

本数据集为针对都会统计区(Metropolitan Statistical Area, MSA)的普查街区组犯罪数据,源自应用地理解决方案公司(Applied Geographic Solutions, AGS)1999年与2005年版的CrimeRisk犯罪风险数据库,由Tetrad计算机应用公司发行。CrimeRisk是对美国联邦调查局(Federal Bureau of Investigation, FBI)犯罪统计数据开展全面分析的成果。基于犯罪与人口统计特征间关系的精细化建模,CrimeRisk能够精准呈现街区组层面特定犯罪类型的相对风险水平。本次属性计算采用了1990-1996年、1999年及2004-2005年的相关数据,更多细节请参阅元数据的「补充信息」章节。 数据集涵盖两类犯罪的属性:人身犯罪与财产犯罪,同时包含总犯罪指数与人身犯罪指数。其中人身犯罪属性包含谋杀、强奸、抢劫与袭击;财产犯罪属性包含入室盗窃、普通盗窃与机动车盗窃。另有12个街区组无对应属性信息。 CrimeRisk是覆盖街区组及更高层级地理范围的数据库,包含针对多类侵害人身与财产的严重犯罪的一系列标准化指数。该数据集基于全美绝大多数执法辖区多年犯罪报告的全面分析构建而成。数据库收录的犯罪类型为「第一类犯罪(Part I Crimes)」,包含谋杀、强奸、抢劫、袭击、入室盗窃、普通盗窃及机动车盗窃。这些分类是美国联邦调查局(FBI)在统一犯罪报告(Uniform Crime Report, UCR)中采用的核心上报类别,唯独纵火(Arson)除外——该类犯罪在不同辖区的上报数据一致性极差。第二类犯罪(Part II Crimes)未在本明细数据库中收录,通常仅在特定区域或更高层级地理范围中可获取。 遵循UCR的上报规范,数据集分别生成了人身犯罪、财产犯罪的聚合指数,以及总犯罪指数。尽管此类指数可有效衡量区域的相对「整体」犯罪率,但需注意:此类均为未加权指数,即计算过程中谋杀与街头扒窃的权重完全一致。因此,在使用任何聚合指数数值时需谨慎。 本数据集采用的街区组边界数据来自TeleAtlas(前身为GDT)的Dynamap数据集,与巴尔的摩生态研究(Baltimore Ecosystem Study, BES)地理数据库中的所有其他街区组边界保持一致。 本元数据记录属于221条巴尔的摩生态研究(Baltimore Ecosystem Study, BES)元数据记录集合之一,这些记录均指向同一地理数据库。该地理数据库可在线获取,但其体量较大。经申请并达成特定安排后,可通过U盘硬盘等介质寄送。该地理数据库总容量约为51.4GB,包含160个文件夹内的4914个文件。尽管本元数据记录及其他同类记录的属性字段并不丰富,但由于其所关联的数据具备较高实用价值,仍予以公开。 本元数据记录属于221条巴尔的摩生态研究(Baltimore Ecosystem Study, BES)元数据记录集合之一,这些记录均指向同一地理数据库。该地理数据库可在线获取,但其体量较大。经申请并达成特定安排后,可通过U盘硬盘等介质寄送。该地理数据库总容量约为51.4GB,包含160个文件夹内的4914个文件。尽管本元数据记录及其他同类记录的属性字段并不丰富,但由于其所关联的数据具备较高实用价值,仍予以公开。
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2024-01-31
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