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dc.contributor.authorAndresen, Martin A
dc.contributor.authorMalleson, Nick
dc.contributor.authorSteenbeek, Wouter
dc.contributor.authorTownsley, Michael
dc.contributor.authorVandeviver, Christophe
dc.date.accessioned2020-08-19T07:03:56Z
dc.date.available2020-08-19T07:03:56Z
dc.date.issued2020
dc.identifier.issn1365-8816
dc.identifier.doi10.1080/13658816.2020.1725015
dc.identifier.urihttp://hdl.handle.net/10072/396537
dc.description.abstractThe 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherTaylor & Francis Group
dc.relation.ispartofpagefrom1306
dc.relation.ispartofpageto1322
dc.relation.ispartofissue7
dc.relation.ispartofjournalInternational Journal of Geographical Information Science
dc.relation.ispartofvolume34
dc.subject.fieldofresearchPhysical geography and environmental geoscience
dc.subject.fieldofresearchGeomatic engineering
dc.subject.fieldofresearchcode3709
dc.subject.fieldofresearchcode4013
dc.subject.keywordsScience & Technology
dc.subject.keywordsSocial Sciences
dc.subject.keywordsPhysical Sciences
dc.subject.keywordsComputer Science
dc.titleMinimum geocoding match rates: an international study of the impact of data and areal unit sizes
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationAndresen, MA; Malleson, N; Steenbeek, W; Townsley, M; Vandeviver, C, Minimum geocoding match rates: an international study of the impact of data and areal unit sizes, International Journal of Geographical Information Science , 2020, 34 (7), pp. 1306-1322
dc.date.updated2020-08-19T00:58:47Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyrightThis 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
gro.hasfulltextFull Text
gro.griffith.authorAndresen, Martin A.
gro.griffith.authorTownsley, Michael K.


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