Items where City Author is "Weir, Ruth"
Article
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,
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,
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),
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
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(Unpublished Doctoral thesis, University of Essex)