IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v42y2010i4p874-894.html
   My bibliography  Save this article

The Intensity of Ethnic Residential Clustering: Exploring Scale Effects Using Local Indicators of Spatial Association

Author

Listed:
  • Michael Poulsen

    (Department of Environment and Geography, Macquarie University, Sydney, NSW 2109, Australia)

  • Ron Johnston

    (School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, England)

  • James Forrest

    (Department of Environment and Geography, Macquarie University, Sydney, NSW 2109, Australia)

Abstract

Most analyses of ethnic residential segregation in cities rely on single-number indices that pay no attention to the degree of spatial clustering of the areas in which a group is either underrepresented or overrepresented. Recently, local statistical measures have been proposed as a set of approaches to overcome this deficiency. One such method—the Getis–Ord G *—is used to portray patterns of segregation in Auckland, New Zealand. That procedure requires analysts to make a number of judgments about the parameters of the statistics deployed, but also offers greater insights into scale effects in the measurement and delineation of segregation. We examine the information that can be derived from changing two of those parameters—the distance band used to define spatial proximity and the statistical significance of the local statistic—using data on two ethnic groups (Asians and Pacific Islanders) in Auckland. The procedure is also combined with a recently developed approach to measuring absolute segregation levels, thereby giving a fuller picture of both the extent of residential clustering and its intensity for those two groups.

Suggested Citation

  • Michael Poulsen & Ron Johnston & James Forrest, 2010. "The Intensity of Ethnic Residential Clustering: Exploring Scale Effects Using Local Indicators of Spatial Association," Environment and Planning A, , vol. 42(4), pages 874-894, April.
  • Handle: RePEc:sae:envira:v:42:y:2010:i:4:p:874-894
    DOI: 10.1068/a42181
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a42181
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a42181?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    2. J. Keith Ord & Arthur Getis, 2001. "Testing for Local Spatial Autocorrelation in the Presence of Global Autocorrelation," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 411-432, August.
    3. Stan Openshaw & Martin Charlton & Alan Craft, 1988. "Searching For Leukaemia Clusters Using A Geographical Analysis Machine," Papers in Regional Science, Wiley Blackwell, vol. 64(1), pages 95-106, January.
    4. Sean Reardon & Stephen Matthews & David O’Sullivan & Barrett Lee & Glenn Firebaugh & Chad Farrell & Kendra Bischoff, 2008. "The geographic scale of Metropolitan racial segregation," Demography, Springer;Population Association of America (PAA), vol. 45(3), pages 489-514, August.
    5. Marinus C. Deurloo & Sjoerd De Vos, 2008. "Measuring Segregation At The Micro Level: An Application Of The M Measure To Multi‐Ethnic Residential Neighbourhoods In Amsterdam," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(3), pages 329-347, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Steven Farber & Antonio Páez & Catherine Morency, 2012. "Activity Spaces and the Measurement of Clustering and Exposure: A Case Study of Linguistic Groups in Montreal," Environment and Planning A, , vol. 44(2), pages 315-332, February.
    2. Hualin Xie & Guiying Liu & Qu Liu & Peng Wang, 2014. "Analysis of Spatial Disparities and Driving Factors of Energy Consumption Change in China Based on Spatial Statistics," Sustainability, MDPI, vol. 6(4), pages 1-17, April.
    3. Zhihua Zhang & Rachel J.C. Chen, 2019. "Assessing Airbnb Logistics in Cities: Geographic Information System and Convenience Theory," Sustainability, MDPI, vol. 11(9), pages 1-11, April.
    4. Michael Poulsen & Ron Johnston & James Forrest, 2011. "Using Local Statistics and Neighbourhood Classifications to Portray Ethnic Residential Segregation: A London Example," Environment and Planning B, , vol. 38(4), pages 636-658, August.
    5. Christopher D Lloyd & Ian Shuttleworth, 2012. "Residential Segregation in Northern Ireland in 2001: Assessing the Value of Exploring Spatial Variations," Environment and Planning A, , vol. 44(1), pages 52-67, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ron Johnston & Michael Poulsen & James Forrest, 2009. "Using Local Statistics to Portray Ethnic Residential Segregation in London," The Centre for Market and Public Organisation 09/213, The Centre for Market and Public Organisation, University of Bristol, UK.
    2. Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella, 2018. "Spatial variation of the perceived transit service quality at rail stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 67-83.
    3. Ángeles Sánchez & Jorge Chica-Olmo & Juan de Dios Jiménez-Aguilera, 2018. "A Space–Time Study for Mapping Quality of Life in Andalusia During the Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 699-728, January.
    4. Sandro Sousa & Vincenzo Nicosia, 2022. "Quantifying ethnic segregation in cities through random walks," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    6. Sue Easton & Loretta Lees & Phil Hubbard & Nicholas Tate, 2020. "Measuring and mapping displacement: The problem of quantification in the battle against gentrification," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 286-306, February.
    7. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    8. Tse-Chuan Yang & Stephen A Matthews, 2015. "Death by Segregation: Does the Dimension of Racial Segregation Matter?," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-26, September.
    9. Monkkonen, Paavo & Zhang, Xiaohu, 2014. "Innovative measurement of spatial segregation: Comparative evidence from Hong Kong and San Francisco," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 99-111.
    10. Ragdad Cani Miranti, 2021. "Is regional poverty converging across Indonesian districts? A distribution dynamics and spatial econometric approach," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 851-883, October.
    11. Grauwin, Sébastian & Goffette-Nagot, Florence & Jensen, Pablo, 2012. "Dynamic models of residential segregation: An analytical solution," Journal of Public Economics, Elsevier, vol. 96(1), pages 124-141.
    12. Lévêque, Christophe & Saleh, Mohamed, 2018. "Does industrialization affect segregation? Evidence from nineteenth-century Cairo," Explorations in Economic History, Elsevier, vol. 67(C), pages 40-61.
    13. Guo, Shuocheng & Kontou, Eleftheria, 2021. "Disparities and equity issues in electric vehicles rebate allocation," Energy Policy, Elsevier, vol. 154(C).
    14. Felipe Santos‐Marquez & Carlos Mendez, 2021. "Regional convergence, spatial scale, and spatial dependence: Evidence from homicides and personal injuries in Colombia 2010–2018," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1162-1184, August.
    15. Ye Seul Choi & Up Lim, 2015. "Effects of Regional Creative Milieu on Interregional Migration of the Highly Educated in Korea: Evidence from Hierarchical Cross-Classified Linear Modeling," Sustainability, MDPI, vol. 7(12), pages 1-18, December.
    16. Joconiah Chirenda & Isaiah Gwitira & Robin M Warren & Samantha L Sampson & Amon Murwira & Collen Masimirembwa & Kudzanai M Mateveke & Cremence Duri & Prosper Chonzi & Simbarashe Rusakaniko & Elizabeth, 2020. "Spatial distribution of Mycobacterium Tuberculosis in metropolitan Harare, Zimbabwe," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-16, April.
    17. Rene Westerholt & Enrico Steiger & Bernd Resch & Alexander Zipf, 2016. "Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-31, September.
    18. Biswajit Mohanty & N. R. Bhanumurthy, 2018. "Regional growth policy experience in India: the spatial dimension," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 479-505, August.
    19. Yukio Sadahiro, 2015. "A method for analyzing the segregation between point distributions: statistical tests and consideration of attributes," Journal of Geographical Systems, Springer, vol. 17(1), pages 29-60, January.
    20. Eva Coll‐Martínez & Ana‐Isabel Moreno‐Monroy & Josep‐Maria Arauzo‐Carod, 2019. "Agglomeration of creative industries: An intra‐metropolitan analysis for Barcelona," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 409-431, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:42:y:2010:i:4:p:874-894. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.