IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v45y2011i6p1473-1481.html
   My bibliography  Save this article

Point pattern analysis of regional city distributions

Author

Listed:
  • Reza Pourtaheri
  • Mohammad Vahidi-Asl

Abstract

No abstract is available for this item.

Suggested Citation

  • Reza Pourtaheri & Mohammad Vahidi-Asl, 2011. "Point pattern analysis of regional city distributions," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1473-1481, October.
    • Handle: RePEc:spr:qualqt:v:45:y:2011:i:6:p:1473-1481
    DOI: 10.1007/s11135-011-9546-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-011-9546-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-011-9546-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. B. D. Ripley, 1979. "Simulating Spatial Patterns: Dependent Samples from a Multivariate Density," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(1), pages 109-112, March.
    2. Jiancang Zhuang, 2006. "Second‐order residual analysis of spatiotemporal point processes and applications in model evaluation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(4), pages 635-653, September.
    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. Ying Ge & Yingxia Pu & Mengdi Sun, 2021. "Alternative measure of border effects across regions: Ripley's K‐function method," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 287-302, February.

    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. Tonglin Zhang & Ge Lin, 2009. "Cluster Detection Based on Spatial Associations and Iterated Residuals in Generalized Linear Mixed Models," Biometrics, The International Biometric Society, vol. 65(2), pages 353-360, June.
    2. Xin Chen & Jieli Ding & Liuquan Sun, 2018. "A semiparametric additive rate model for a modulated renewal process," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 24(4), pages 675-698, October.
    3. Yongtao Guan & Hansheng Wang, 2010. "Sufficient dimension reduction for spatial point processes directed by Gaussian random fields," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 367-387, June.
    4. Yosihiko Ogata & Masaharu Tanemura, 1989. "Likelihood estimation of soft-core interaction potentials for Gibbsian point patterns," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 41(3), pages 583-600, September.
    5. Giada Adelfio & Frederic Schoenberg, 2009. "Point process diagnostics based on weighted second-order statistics and their asymptotic properties," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(4), pages 929-948, December.
    6. Roba Bairakdar & Debbie Dupuis & Melina Mailhot, 2024. "Deviance Voronoi Residuals for Space-Time Point Process Models: An Application to Earthquake Insurance Risk," Papers 2410.04369, arXiv.org.
    7. Wu, Tai-Hsi & Lin, Jen-Nan, 2003. "Solving the competitive discretionary service facility location problem," European Journal of Operational Research, Elsevier, vol. 144(2), pages 366-378, January.
    8. Fengchang Lin & Jason P. Fine, 2009. "Pseudomartingale estimating equations for modulated renewal process models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 3-23, January.
    9. Vinny Davies & Richard Reeve & William T. Harvey & Francois F. Maree & Dirk Husmeier, 2017. "A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution," Computational Statistics, Springer, vol. 32(3), pages 803-843, September.
    10. Kieran Kalair & Colm Connaughton & Pierfrancesco Alaimo Di Loro, 2021. "A non‐parametric Hawkes process model of primary and secondary accidents on a UK smart motorway," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 80-97, January.
    11. repec:jss:jstsof:35:i08 is not listed on IDEAS

    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:spr:qualqt:v:45:y:2011:i:6:p:1473-1481. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.