Minimum geocoding match rates: an international study of the impact of data and areal unit sizes
Minimum geocoding match rates: an international study of the impact of data and areal unit sizes
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DOI：
10.1080/13658816.2020.1725015
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发表时间：
2020-02-13
影响因子：
5.7
通讯作者：
Vandeviver, Christophe
中科院分区：
文献类型：
--
作者：
Andresen, Martin A.;Malleson, Nick;Vandeviver, Christophe
对地理参考数据，特别是点数据的分析，取决于对这些数据进行准确的地理编码。地理编码是指将地理参考数据（例如地址）放置在地图上的过程。此过程可能导致位置准确性问题或无法对地址进行地理编码。在本文中，我们进行了一项国际调查的影响（在）的能力，地理编码的地址上产生的空间格局。我们使用各种犯罪事件的点数据集（事件数量和犯罪类型各不相同）、各种分析区域单位（面积单位的数量和大小各不相同），来自不同国家（不同的基本行政制度），和一个本地的-的空间点模式测试，以找到地理编码匹配率的级别，从而在地址丢失时保持原始数据的空间模式。随机我们发现地理编码成功的水平取决于分析的点的数量和面积单元的数量，但通常表明地理编码成功的必要水平低于之前研究中发现的水平。这一结论在不同的国家背景下是一致的。
The analysis of geographically referenced data, specifically point data, is predicated on the accurate geocoding of those data. Geocoding refers to the process in which geographically referenced data (addresses, for example) are placed on a map. This process may lead to issues with positional accuracy or the inability to geocode an address. In this paper, we conduct an international investigation into the impact of the (in)ability to geocode an address on the resulting spatial pattern. We use a variety of point data sets of crime events (varying numbers of events and types of crime), a variety of areal units of analysis (varying the number and size of areal units), from a variety of countries (varying underlying administrative systems), and a locally-based spatial point pattern test to find the levels of geocoding match rates to maintain the spatial patterns of the original data when addresses are missing at random. We find that the level of geocoding success depends on the number of points and the number of areal units under analysis, but generally show that the necessary levels of geocoding success are lower than found in previous research. This finding is consistent across different national contexts.