Skip to main content
Log in

A note on the SG(m) test

  • Original Article
  • Published:
Journal of Geographical Systems Aims and scope Submit manuscript

Abstract

López et al. (Reg Sci Urban Econ 40(2–3):106–115, 2010) introduce a nonparametric test of spatial dependence, called SG(m). The test is claimed to be consistent and asymptotically Chi-square distributed. Elsinger (Reg Sci Urban Econ 43(5):838–840, 2013) raises doubts about the two properties. Using a particular counterexample, he shows that the asymptotic distribution of the SG(m) test may be far from the Chi-square family; the property of consistency is also questioned. In this note, the authors want to clarify the properties of the SG(m) test. We argue that the cause of the conflict is in the specification of the symbolization map. The discrepancies can be solved by adjusting some of the definitions made in the original paper. Moreover, we introduce a permutational bootstrapped version of the SG(m) test, which is powerful and robust to the underlying statistical assumptions. This bootstrapped version may be very useful in an applied context.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The code is available from the authors upon request.

References

  • Elsinger H (2013) Comment on: a non-parametric spatial independence test using symbolic entropy. Reg Sci Urban Econ 43(5):838–840

    Article  Google Scholar 

  • Lahiri SN (2003) Resampling methods for dependent data. Springer, New York

    Book  Google Scholar 

  • López F, Matilla-García M, Mur J, Ruiz M (2010) Non-parametric spatial independence test using symbolic entropy. Reg Sci Urban Econ 40(2–3):106–115

    Article  Google Scholar 

  • Ruiz M, López F, Páez A (2010) Testing for spatial association of qualitative data using symbolic dynamics. J Geogr Syst 12(3):281–309

    Article  Google Scholar 

  • Skaug HJ, Tjøstheim D (1996) Measures of distance between densities with application to testing for serial independence. In: Robinson PM, Rosenblatt M (eds) Time series analysis in memory of E.J. Hannan. Springer, New York, pp 363–377

    Google Scholar 

  • Soon SYT (1996) Binomial approximation for dependent indicators. Stat Sin 6(3):703–714

    Google Scholar 

Download references

Acknowledgments

The authors grateful for the financial support offered by the projects ECO2012-36032-C03-01 and EC02012-36032-C03-03 from the Spanish Ministry of Economía y Competitividad; the COST Action IS1104, The EU in the new economic complex geography: models, tools and policy evaluation; Departamento de Industria e Innovación of the Goverment of Aragon and from the European Social Fund; and Fundación Séneca (Comunidad Autónoma de Murcia).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fernando A. López.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

López, F.A., Matilla-García, M., Mur, J. et al. A note on the SG(m) test. J Geogr Syst 18, 87–96 (2016). https://doi.org/10.1007/s10109-015-0221-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10109-015-0221-7

Keywords

JEL Classification

Navigation