Minimum geocoding match rates: an international study of the impact of data and areal unit sizes-Reference-Cited by-同舟云学术

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

Published:2020-02-11 Issue:7 Volume:34 Page:1306-1322
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Andresen Martin A.¹^ORCID,Malleson Nick²^ORCID,Steenbeek Wouter³,Townsley Michael¹,Vandeviver Christophe⁴⁵^ORCID

Affiliation:

1. School of Criminology and Criminal Justice, Griffith University, Southport, Queensland, Australia

2. School of Geography, University of Leeds, Leeds, UK

3. Netherlands Institute for the Study of Crime and Law Enforcement, Amsterdam, Netherlands

4. Department of Criminology, Criminal Law and Social Law, Faculty of Law and Criminology, Ghent University, Ghent, Belgium

5. Research Foundation – Flanders (FWO), Brussels, Belgium

Funder

Research Foundation—Flanders

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1725015

Reference45 articles.

1. Testing for similarity in area-based spatial patterns: A nonparametric Monte Carlo approach

2. An area-based nonparametric spatial point pattern test: The test, its applications, and the future

3. The Trajectories of Crime at Places: Understanding the Patterns of Disaggregated Crime Types

4. Crime at Places and Spatial Concentrations: Exploring the Spatial Stability of Property Crime in Vancouver BC, 2003–2013

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