Reference data and geocoding quality Examining completeness and positional accuracy of street geocoded crime incidents
Reference data and geocoding quality Examining completeness and positional accuracy of street geocoded crime incidents
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DOI：
10.1108/13639511311329705
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发表时间：
2013-01-01
影响因子：
2
通讯作者：
Zandbergen, Paul A.
中科院分区：
文献类型：
--
作者：
Hart, Timothy C.;Zandbergen, Paul A.
目的-本文的目的是研究的参考数据，输入地址的质量和犯罪类型的完整性和位置的准确性街道地理编码的犯罪events.Design/方法/方式-现有的数据进行了分析，使用ArcGIS，包括犯罪事件信息，街道网络参考数据，地址点和/或地块参考数据的影响。地理编码的完整性由总体匹配率决定。通过比较犯罪事件的街道地理编码位置之间的欧氏距离确定的位置准确性相应的地址点/地块地理编码location.Findings -结果表明，匹配率不同的参考数据，输入地址的质量，和犯罪类型。当地街道中心线文件一致地产生与其他类型的参考数据（包括商业数据）一样好的匹配率，并且在许多情况下上级。但结果与使用其他学科的数据进行的位置精度分析是一致的。实际影响-研究结果为研究人员和从业人员提供了宝贵的指导，使他们能够深入了解与犯罪时空分析有关的一个最基本但也是最根本的程序，这表明，成功和高质量地制作地理编码犯罪事件所需的参考数据并不一定意味着执法机构需要大量的财政投资，研究人员感兴趣的犯罪的地理空间分析。独创性/价值-在此之前的调查，地理编码的犯罪事件的数据质量的影响进行了全面检查是从文献中缺席。
Purpose - The purpose of this paper is to examine the influence of reference data, input address quality, and crime type on completeness and positional accuracy of street geocoded crime events.Design/methodology/approach - Existing data were analyzed using ArcGIS, including crime incident information, street network reference data, and address point and/or parcel reference data. Geocoding completeness was determined by the overall match rate. Positional accuracy was determined by comparing the Euclidian distance between street geocoded locations of crime events to the corresponding address point/parcel geocoded location.Findings - Results indicate that match rates vary by reference data, input address quality, and crime type. Local street centerline files consistently produced match rates that were as good as and in many cases superior to other types of reference data, including commercial data Greater variability in positional accuracy was observed across reference data when crime type and input address quality was considered, but results were consistent with positional accuracy analysis conducted using data from other disciplines.Practical implications - Results provide researchers and practitioners with valuable guidance and insight into one of the most basic albeit fundamental procedures related to the spatio-temporal analysis of crime, suggesting that reference data required to produce geocoded crime incidents successfully and of high quality does not necessarily mean a large financial investment on the part of law enforcement agencies or researchers interested in the geospatial analysis of crime.Originality/value - Prior to this investigation, a comprehensive examination of the impact of data quality on geocoded crime events was absent from the literature.