IDEAS home Printed from https://ideas.repec.org/a/igg/jagr00/v9y2018i2p1-19.html
   My bibliography  Save this article

Geographic Analysis of Domestic Violence Incident Locations and Neighborhood Level Influences

Author

Listed:
  • Rick L. Bunch

    (University of North Carolina Greensboro, United States)

  • Christine Murray

    (University of North Carolina Greensboro, United States)

  • Xiaoli Gao

    (University of North Carolina Greensboro, United States)

  • Eleazer D. Hunt

    (Greensboro Police Department, United States)

Abstract

Domestic violence is an important public health issue, and there is limited research to date that examines community-level influences on this serious form of violence. This article investigates the neighborhood characteristics of domestic violence incidents in the city of Greensboro, North Carolina. US Census block group boundaries and corresponding tables were used as proxies for neighborhoods. The article addresses an important gap in domestic violence research by combining geographic and statistical analyses at the block group level. Geographic data were analyzed using an Optimized Hot Spot Analysis (OHA) along with features selected by penalized Poisson regression model. The OHA was used to identify spatial clusters of high and low values while the penalized Poisson regression model was used to select the important variables from over 7000 candidates. The results of high-dimensional analysis produced six categories and 20 variables that were used to examine the characteristics of spatial clusters.

Suggested Citation

  • Rick L. Bunch & Christine Murray & Xiaoli Gao & Eleazer D. Hunt, 2018. "Geographic Analysis of Domestic Violence Incident Locations and Neighborhood Level Influences," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 9(2), pages 1-19, April.
    • Handle: RePEc:igg:jagr00:v:9:y:2018:i:2:p:1-19
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAGR.2018040102
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tara A. Smith & J. S. Onésimo Sandoval, 2019. "Examining the Local Spatial Variability of Robberies in Saint Louis Using a Multi-Scale Methodology," Social Sciences, MDPI, vol. 8(2), pages 1-25, February.
    2. Hao Liu & Lin Ma, 2020. "Spatial Pattern and Effects of Urban Coordinated Development in China’s Urbanization," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    3. Amirhosein Mousavi & Yiting Yuan & Shahir Masri & Greg Barta & Jun Wu, 2021. "Impact of 4th of July Fireworks on Spatiotemporal PM 2.5 Concentrations in California Based on the PurpleAir Sensor Network: Implications for Policy and Environmental Justice," IJERPH, MDPI, vol. 18(11), pages 1-18, May.

    More about this item

    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:igg:jagr00:v:9:y:2018:i:2:p:1-19. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.