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Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests

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  • David Wheeler

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  • Lance Waller

Abstract

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Suggested Citation

  • David Wheeler & Lance Waller, 2009. "Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests," Journal of Geographical Systems, Springer, vol. 11(1), pages 1-22, March.
  • Handle: RePEc:kap:jgeosy:v:11:y:2009:i:1:p:1-22
    DOI: 10.1007/s10109-008-0073-5
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    File URL: http://hdl.handle.net/10.1007/s10109-008-0073-5
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    Citations

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    Cited by:

    1. repec:spr:qualqt:v:52:y:2018:i:1:d:10.1007_s11135-016-0451-x is not listed on IDEAS
    2. Maria Terres & Alan Gelfand, 2015. "Using spatial gradient analysis to clarify species distributions with application to South African protea," Journal of Geographical Systems, Springer, vol. 17(3), pages 227-247, July.
    3. David C. Wheeler & Antonio Páez & Jamie Spinney & Lance A. Waller, 2014. "A Bayesian approach to hedonic price analysis," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 663-683, August.
    4. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    5. A. Stewart Fotheringham & Taylor M. Oshan, 2016. "Geographically weighted regression and multicollinearity: dispelling the myth," Journal of Geographical Systems, Springer, vol. 18(4), pages 303-329, October.
    6. Ashley N. Arnio & Eric P. Baumer, 2012. "Demography, foreclosure, and crime:," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(18), pages 449-488, May.

    More about this item

    Keywords

    GWR; Bayesian regression; Collinearity; Penalization methods; C11; C13; C21;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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