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dc.contributor.authorWheeler, Andrew Palmer
dc.contributor.authorSteenbeek, Wouter
dc.contributor.authorAndresen, Martin A
dc.date.accessioned2020-02-21T05:32:14Z
dc.date.available2020-02-21T05:32:14Z
dc.date.issued2018
dc.identifier.issn1361-1682en_US
dc.identifier.doi10.1111/tgis.12341en_US
dc.identifier.urihttp://hdl.handle.net/10072/391785
dc.description.abstractAndresen's spatial point pattern test (SPPT) compares two spatial point patterns on defined areal units; it identifies areas where the spatial point patterns diverge and aggregates these local (dis)similarities to one global measure. We discuss the limitations of the SPPT and provide two alternative methods to calculate differences in the point patterns. In the first approach we use differences in proportions tests corrected for multiple comparisons. We show how the size of differences matters, as with large point patterns many areas will be identified by SPPT as statistically different, even if those differences are substantively trivial. The second approach uses multinomial logistic regression, which can be extended to identify differences in proportions over continuous time. We demonstrate these methods by identifying areas where pedestrian stops by the New York City Police Department are different from violent crimes for 2006–2016.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherWiley Blackwellen_US
dc.relation.ispartofpagefrom760en_US
dc.relation.ispartofpageto774en_US
dc.relation.ispartofissue3en_US
dc.relation.ispartofjournalTransactions in GISen_US
dc.relation.ispartofvolume22en_US
dc.subject.fieldofresearchData Formaten_US
dc.subject.fieldofresearchGeomatic Engineeringen_US
dc.subject.fieldofresearchHuman Geographyen_US
dc.subject.fieldofresearchcode0804en_US
dc.subject.fieldofresearchcode0909en_US
dc.subject.fieldofresearchcode1604en_US
dc.subject.keywordsSocial Sciencesen_US
dc.subject.keywordsGeographyen_US
dc.subject.keywordsCONFIDENCE-INTERVALSen_US
dc.subject.keywordsCRIME SEASONALITYen_US
dc.subject.keywordsPOLICEen_US
dc.titleTesting for similarity in area-based spatial patterns: Alternative methods to Andresen's spatial point pattern testen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationWheeler, AP; Steenbeek, W; Andresen, MA, Testing for similarity in area-based spatial patterns: Alternative methods to Andresen's spatial point pattern test, Transactions in GIS, 2018, 22 (3), pp. 760-774en_US
dc.date.updated2020-02-21T05:23:31Z
dc.description.versionPost-printen_US
gro.rights.copyright© 2018 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Testing for similarity in area‐based spatial patterns: Alternative methods to Andresen's spatial point pattern test, Transactions in GIS, 2018, 22 (3), pp. 760-774, which has been published in final form at https://doi.org/10.1111/tgis.12341. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)en_US
gro.hasfulltextFull Text
gro.griffith.authorAndresen, Martin A.


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