Items where Author is "Weir, R."
Article
Wang, R., Cleland, C. L., Weir, R. 
ORCID: 0000-0002-5554-801X , McManus, S. ORCID: 0000-0003-2711-0819, Martire, A., Grekousis, G., Bryan, D. & Hunter, R. F. (2024).
Rethinking the association between green space and crime using spatial quantile regression modelling: Do vegetation type, crime type, and crime rates matter?.
Urban Forestry & Urban Greening, 101,
article number 128523.
doi: 10.1016/j.ufug.2024.128523
Hadjimatheou, K., Quiroz Flores, A., Weir, R. ORCID: 0000-0002-5554-801X & Skevington, T. ORCID: 0000-0002-2919-6823 (2024).
Using unsupervised machine learning to find profiles of domestic abuse perpetrators.
Policing: A Journal of Policy and Practice, 18,
article number paae092.
doi: 10.1093/police/paae092
Weir, R. ORCID: 0000-0002-5554-801X (2024).
Differentiating risk: The association between relationship type and risk of repeat victimization of domestic abuse.
Policing: A Journal of Policy and Practice, 18,
article number paae024.
doi: 10.1093/police/paae024
Lundrigan, S., Weir, R. ORCID: 0000-0002-5554-801X, Newton, A. , Agudelo, K. & Dhami, M. (2022).
Patterns and Predictors of Stranger Rape Locations.
European Journal on Criminal Policy and Research, 30(1),
pp. 181-209.
doi: 10.1007/s10610-022-09535-5
Bland, M., Weir, R. ORCID: 0000-0002-5554-801X, Adisa, O. , Allen, K., Ferreira, J. & Maitra, D. R. (2022).
Describing Patterns of Known Domestic Abuse Among Different Ethnic Groups.
Frontiers in Psychology, 13,
article number 917543.
doi: 10.3389/fpsyg.2022.917543
Weir, R. ORCID: 0000-0002-5554-801X (2019).
Using geographically weighted regression to explore neighborhood-level predictors of domestic abuse in the UK.
Transactions in Geographic Information Systems (GIS), 23(6),
pp. 1232-1250.
doi: 10.1111/tgis.12570
Gill, A. K., Cox, P. & Weir, R. ORCID: 0000-0002-5554-801X (2018).
Shaping Priority Services for UK Victims of Honour-Based Violence/Abuse, Forced Marriage, and Female Genital Mutilation.
The Howard Journal of Crime and Justice, 57(4),
pp. 576-595.
doi: 10.1111/hojo.12287
Monograph
Adisa, O., Bland, M., Weir, R. ORCID: 0000-0002-5554-801X , Allen, K. & Joana, F. (2021).
Identifying predictors of harm within Black, Asian, and other racially minoritised communities.
Suffolk, UK: University of Suffolk.
Adisa, O., Allen, K., Kumari, M. , Weir, R. ORCID: 0000-0002-5554-801X & Bond, E. (2020).
Mapping the VAWG funding ecosystem in England and Wales.
Suffolk, UK: University of Suffolk.
Report
Hadjimatheou, K., Quiroz-Flores, A., Weir, R. ORCID: 0000-0002-5554-801X & Skevington, T. (2023).
Understanding Domestic Abuse Perpetrators: Using quantitative analysis to develop perpetrator profiles and exploring their implications for targeted intervention and risk assessment.
Essex, UK: University of Essex.
Weir, R. ORCID: 0000-0002-5554-801X & Bangs, M. (2007).
The use of Geographic Information Systems by crime analysts in England and Wales (Home Office Online Report 03/07).
Home Office.
Thesis
Weir, R. ORCID: 0000-0002-5554-801X (2020).
Individuals, Families and Neighbourhoods: Predictors of Domestic Abuse in Essex.
(Unpublished Doctoral thesis, University of Essex)