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  • Minimum geocoding match rates: an international study of the impact of data and areal unit sizes

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    Andresen364554-Accepted.pdf (312.3Kb)
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    Version of Record (VoR)
    Author(s)
    Andresen, Martin A
    Malleson, Nick
    Steenbeek, Wouter
    Townsley, Michael
    Vandeviver, Christophe
    Griffith University Author(s)
    Townsley, Michael K.
    Year published
    2020
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    Abstract
    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 ...
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    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.
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    Journal Title
    International Journal of Geographical Information Science
    Volume
    34
    Issue
    7
    DOI
    https://doi.org/10.1080/13658816.2020.1725015
    Copyright Statement
    This is an Author's Accepted Manuscript of an article published in the International Journal of Geographical Information Science, 34 (7), pp. 1306-1322, 11 Feb 2020, copyright Taylor & Francis, available online at: https://doi.org/10.1080/13658816.2020.1725015
    Subject
    Physical geography and environmental geoscience
    Human geography
    Science & Technology
    Social Sciences
    Physical Sciences
    Computer Science
    Publication URI
    http://hdl.handle.net/10072/396537
    Collection
    • Journal articles

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