IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v10y2008i2p141-165.html
   My bibliography  Save this article

A bootstrap based space–time surveillance model with an application to crime occurrences

Author

Listed:
  • Youngho Kim
  • Morton O’Kelly

Abstract

No abstract is available for this item.

Suggested Citation

  • Youngho Kim & Morton O’Kelly, 2008. "A bootstrap based space–time surveillance model with an application to crime occurrences," Journal of Geographical Systems, Springer, vol. 10(2), pages 141-165, June.
    • Handle: RePEc:kap:jgeosy:v:10:y:2008:i:2:p:141-165
    DOI: 10.1007/s10109-008-0058-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10109-008-0058-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10109-008-0058-4?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. Peter Rogerson, 2005. "Monitoring spatial maxima," Journal of Geographical Systems, Springer, vol. 7(1), pages 101-114, October.
    2. Julian Besag & James Newell, 1991. "The Detection of Clusters in Rare Diseases," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(1), pages 143-155, January.
    Full references (including those not matched with items on IDEAS)

    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. Johnston, Robert J. & Ramachandran, Mahesh & Schultz, Eric T. & Segerson, Kathleen & Besedin, Elena Y., 2011. "Characterizing Spatial Pattern in Ecosystem Service Values when Distance Decay Doesn’t Apply: Choice Experiments and Local Indicators of Spatial Association," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103374, Agricultural and Applied Economics Association.
    2. repec:rri:wpaper:200506 is not listed on IDEAS
    3. Murat Yazici, 2017. "PSpatial Point Pattern Analyses and its Use in Geographical Epidemiology," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 1(5), pages 99-103, May.
    4. Tomoya Mori & Tony E. Smith, 2014. "A probabilistic modeling approach to the detection of industrial agglomerations," Journal of Economic Geography, Oxford University Press, vol. 14(3), pages 547-588.
    5. Ben Said FOUED, 2015. "Tunisian Coastal Cities Attractiveness And Amenities," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 10(3), pages 49-70, August.
    6. Tonglin Zhang & Ge Lin, 2008. "Identification of local clusters for count data: a model-based Moran's I test," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(3), pages 293-306.
    7. Tomoya Mori & Tony E. Smith, 2009. "A Reconsideration of the NAS Rule from an Industrial Agglomeration Perspective," KIER Working Papers 669, Kyoto University, Institute of Economic Research.
    8. Kristy Buzard & Gerald A. Carlino & Jake Carr & Robert M. Hunt & Tony E. Smith, 2015. "Localized Knowledge Spillovers: Evidence from the Agglomeration of American R&D Labs and Patent Data," Working Papers 15-3, Federal Reserve Bank of Philadelphia.
    9. Kristy Buzard & Gerald A. Carlino & Jake Carr & Robert M. Hunt & Tony E. Smith, 2017. "The Agglomeration of American Research and Development Labs," Working Papers 17-18, Federal Reserve Bank of Philadelphia.
    10. Marvin M. Smith & Tony E. Smith & John Wackes, 2007. "Alternative financial service providers and the spatial void hypothesis," Community Affairs Discussion Paper 07-01, Federal Reserve Bank of Philadelphia.
    11. Katarzyna Kopczewska, 2022. "Spatial machine learning: new opportunities for regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 713-755, June.
    12. Ronald E. Gangnon & Murray K. Clayton, 2000. "Bayesian Detection and Modeling of Spatial Disease Clustering," Biometrics, The International Biometric Society, vol. 56(3), pages 922-935, September.
    13. Peter Congdon, 1995. "Localities for Epidemiological Monitoring and Health Policy," Urban Studies, Urban Studies Journal Limited, vol. 32(7), pages 1175-1198, August.
    14. Ge Lin & Tonglin Zhang, 2005. "Loglinear Residual Tests of Moran's I Autorrelation: An Application to Kentucky Breast Cancer Data," Working Papers Working Paper 2005-06, Regional Research Institute, West Virginia University.
    15. Smith, Tony E. & Smith, Marvin M. & Wackes, John, 2008. "Alternative financial service providers and the spatial void hypothesis," Regional Science and Urban Economics, Elsevier, vol. 38(3), pages 205-227, May.
    16. Trisalyn Nelson & Barry Boots, 2005. "Identifying insect infestation hot spots: an approach using conditional spatial randomization," Journal of Geographical Systems, Springer, vol. 7(3), pages 291-311, December.
    17. Hosik Choi & Eunjung Song & Seung-sik Hwang & Woojoo Lee, 2018. "A modified generalized lasso algorithm to detect local spatial clusters for count data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(4), pages 537-563, October.
    18. HAEDO, Christian & MOUCHART , Michel & ,, 2013. "Specialized agglomerations with areal data: model and detection," LIDAM Discussion Papers CORE 2013060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Ikuho Yamada & Peter Rogerson & Gyoungju Lee, 2009. "GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters," Journal of Geographical Systems, Springer, vol. 11(2), pages 155-173, June.
    20. Duczmal, Luiz & Assuncao, Renato, 2004. "A simulated annealing strategy for the detection of arbitrarily shaped spatial clusters," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 269-286, March.
    21. Wan, You & Pei, Tao & Zhou, Chenghu & Jiang, Yong & Qu, Chenxu & Qiao, Youlin, 2012. "ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 283-296.

    More about this item

    Keywords

    Space-time cluster; Surveillance; Crime analysis; C15;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:kap:jgeosy:v:10:y:2008:i:2:p:141-165. 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.