IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v12y2010i4p409-433.html
   My bibliography  Save this article

Identifying irregularly shaped crime hot-spots using a multiobjective evolutionary algorithm

Author

Listed:
  • Xiaolan Wu
  • Tony Grubesic

Abstract

No abstract is available for this item.

Suggested Citation

  • Xiaolan Wu & Tony Grubesic, 2010. "Identifying irregularly shaped crime hot-spots using a multiobjective evolutionary algorithm," Journal of Geographical Systems, Springer, vol. 12(4), pages 409-433, December.
    • Handle: RePEc:kap:jgeosy:v:12:y:2010:i:4:p:409-433
    DOI: 10.1007/s10109-010-0107-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10109-010-0107-7
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10109-010-0107-7?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. Julian Besag & Peter J. Diggle, 1977. "Simple Monte Carlo Tests for Spatial Pattern," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 327-333, November.
    2. Ningchuan Xiao & David A Bennett & Marc P Armstrong, 2002. "Using Evolutionary Algorithms to Generate Alternatives for Multiobjective Site-Search Problems," Environment and Planning A, , vol. 34(4), pages 639-656, April.
    3. Luc Anselin & Attila Varga & Zoltan Acs, 2008. "Geographical Spillovers and University Research: A Spatial Econometric Perspective," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 10, pages 122-134, Edward Elgar Publishing.
    4. Duczmal, Luiz & Cancado, Andre L.F. & Takahashi, Ricardo H.C. & Bessegato, Lupercio F., 2007. "A genetic algorithm for irregularly shaped spatial scan statistics," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 43-52, 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. M. R. Martines & R. V. Ferreira & R. H. Toppa & L. M. Assunção & M. R. Desjardins & E. M. Delmelle, 2021. "Detecting space–time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities," Journal of Geographical Systems, Springer, vol. 23(1), pages 7-36, 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. Goodall, Amanda H., 2009. "Highly cited leaders and the performance of research universities," Research Policy, Elsevier, vol. 38(7), pages 1079-1092, September.
    2. Motoyama, Yasuyuki & Cao, Cong & Appelbaum, Richard, 2014. "Observing regional divergence of Chinese nanotechnology centers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 11-21.
    3. Cilem Selin Hazir & Corinne Autant-Bernard, 2012. "Using Affiliation Networks to Study the Determinants of Multilateral Research Cooperation Some empirical evidence from EU Framework Programs in biotechnology," Working Papers 1212, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Giuseppe Espa & Giuseppe Arbia & Diego Giuliani, 2013. "Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan," Journal of Geographical Systems, Springer, vol. 15(1), pages 31-50, January.
    5. Dufour, Jean-Marie, 2006. "Monte Carlo tests with nuisance parameters: A general approach to finite-sample inference and nonstandard asymptotics," Journal of Econometrics, Elsevier, vol. 133(2), pages 443-477, August.
    6. Federico Caviggioli & Alessandra Colombelli & Antonio De Marco & Giuseppe Scellato & Elisa Ughetto, 2023. "Co-evolution patterns of university patenting and technological specialization in European regions," The Journal of Technology Transfer, Springer, vol. 48(1), pages 216-239, February.
    7. Lawrence A. Plummer & Zoltán J. Ács, 2015. "Localized competition in the knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 8, pages 145-160, Edward Elgar Publishing.
    8. Roper, Stephen & Hewitt-Dundas, Nola & Love, James H., 2004. "An ex ante evaluation framework for the regional benefits of publicly supported R&D projects," Research Policy, Elsevier, vol. 33(3), pages 487-509, April.
    9. Ernest Miguélez & Rosina Moreno, 2013. "Do Labour Mobility and Technological Collaborations Foster Geographical Knowledge Diffusion? The Case of European Regions," Growth and Change, Wiley Blackwell, vol. 44(2), pages 321-354, June.
    10. Burcin Bozkaya & Seda Yanik & Selim Balcisoy, 2010. "A GIS-Based Optimization Framework for Competitive Multi-Facility Location-Routing Problem," Networks and Spatial Economics, Springer, vol. 10(3), pages 297-320, September.
    11. Breandán Ó'hUallacháin, 2008. "Regional growth transition clubs in the United States," Papers in Regional Science, Wiley Blackwell, vol. 87(1), pages 33-53, March.
    12. Elina BENEA-POPUȘOI & Ecaterina RUSU, 2018. "Knowledge spillovers in the process of formation of the economic clusters," Eastern European Journal for Regional Studies (EEJRS), Center for Studies in European Integration (CSEI), Academy of Economic Studies of Moldova (ASEM), vol. 4(2), pages 94-107, December.
    13. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    14. Menger Tu & Sandy Dall'erba & Mingque Ye, 2022. "Spatial and Temporal Evolution of the Chinese Artificial Intelligence Innovation Network," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    15. Caviggioli, F. & Colombelli, A. & De Marco, A. & Scellato, G. & Ughetto, E., 2023. "The impact of university patenting on the technological specialization of European regions: a technology-level analysis," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    16. Dirk Czarnitzki & Hanna Hottenrott, 2009. "Are Local Milieus The Key To Innovation Performance?," Journal of Regional Science, Wiley Blackwell, vol. 49(1), pages 81-112, February.
    17. Lopez-Cermeño, Alexandra, 2016. "Knowledge shocks diffusion and the resilience of regional inequality," IFCS - Working Papers in Economic History.WH 22859, Universidad Carlos III de Madrid. Instituto Figuerola.
    18. Subhankar Ghosh & Jayant Gupta & Arun Sharma & Shuai An & Shashi Shekhar, 2024. "Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results," Papers 2407.02536, arXiv.org.
    19. Christ, Julian P., 2009. "The geography and co-location of European technology-specific co-inventorship networks," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 31/2010, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    20. Araujo, Jair Andrade & Souza, Helson Gomes de & Tabosa, Francisco José Silva, 2019. "Income elasticities and inequality of poverty in urban and rural areas of the Brazilian states: a spatial approach," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.

    More about this item

    Keywords

    Hot-spots; Crime; Genetic algorithms; Epidemiology; Irregular clusters; Geographic information systems (GIS); Spatial analysis; C49; C61;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:12:y:2010:i:4:p:409-433. 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.