Samuel Langton
Samuel Langton
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Type
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Journal article
Preprint
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Date
2024
2023
2022
2021
2020
2019
2017
The spatial patterning of emergency demand for police services. A scoping review.
Scoping review on the spatial patterning of emergency demand as measured through calls for service.
Samuel Langton
,
Stijn Ruiter
,
Linda Schoonmade
PDF
Operationalizing deployment time in police calls for service
Paper comparing different calculations of ‘dispatched deployment time’ using calls for service data from Amsterdam, Netherlands.
Samuel Langton
,
Tim Verlaan
,
Stijn Ruiter
PDF
Reactieve politie-inzet op straat
Article (in Dutch) in Tijdschrift voor de Politie.
Tim Verlaan
,
Samuel Langton
,
Stijn Ruiter
PDF
Preregistration. The spatio-temporal relationship between bars and violence.
This study examines the spatio-temporal relationship between bars and violence in two major Dutch cities using emergency calls for service data.
Samuel Langton
,
Stijn Ruiter
,
Aisling Connolly
,
Viviane Menges
PDF
Describing the scale and composition of calls for police service. A replication and extension using open data
Paper describing the scale and composition of emergency police demand in Detroit, US. Replicates existing research elsewhere in the US.
Samuel Langton
,
Stijn Ruiter
,
Tim Verlaan
PDF
Code
Policing and mental ill-health. Using big data to assess the scale and severity of, and the frontline resources committed to, mental ill-health related calls-for-service
Paper estimating the scale of police demand originating from incidents involving people with mental ill-health.
Samuel Langton
,
Jon Bannister
,
Mark Ellison
,
Muhammad Salman Haleem
,
Karolina Krzemieniewska-Nandwani
Preprint
PDF
Small area variation in crime effects of COVID-19 policies in England and Wales
Paper examining local varition in the COVID-19 lockdown crime drop.
Samuel Langton
,
Anthony Dixon
,
Graham Farrell
Preprint
PDF
Code
The accuracy of crime statistics. Assessing the impact of police data bias on geographic crime analysis
Paper using simulated data to investigate bias in police recorded crime at multiple spatial scales.
David Buil-Gil
,
Angelo Moretti
,
Samuel Langton
Preprint
PDF
Code
Six Months In. Pandemic Crime Trends in England and Wales
Paper examining crime in England and Wales during the first six months of the pandemic.
Samuel Langton
,
Anthony Dixon
,
Graham Farrell
Preprint
PDF
Code
Anchored k-medoids. A novel adaptation of k-medoids further refined to measure long-term instability in the exposure to crime
Paper detailing a substantive demonstration of ak-medoids clustering on simulated and real police-recorded crime data.
Monsuru Adepeju
,
Samuel Langton
,
Jon Bannister
PDF
Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets
Paper and documentation for an R package to implement anchored k-medoids, a method for clustering longitudinal data.
Monsuru Adepeju
,
Samuel Langton
,
Jon Bannister
PDF
Open Data for Crime and Place Research. A Practical Guide in R
Forthcoming book chapter on using open data to study crime and place including a practical exercise in R.
Samuel Langton
,
Reka Solymosi
Preprint
Code
Six months in. Pandemic crime trends in England and Wales to August 2020
Article for Policing Insight examining police-recorded crime in England and Wales between March and August.
Graham Farrell
,
Samuel Langton
,
Anthony Dixon
Article
An examination of variability in offender residences across different spatial scales. A case study in Birmingham
Paper exploring concentration and variance in offender residences across multiple (nested) spatial scales.
Samuel Langton
,
Wouter Steenbeek
,
Monsuru Adepeju
Preprint
Crime and Anti-social Behaviour in Greater London
Stats bulletin reporting end of month counts for crime and anti-social behaviour in Greater London before and after lockdown.
Samuel Langton
PDF
GIS and Geovisual Analysis
Forthcoming book chapter introducing GIS and geovisual analysis for research.
David Buil-Gil
,
Samuel Langton
Preprint
PDF
Cartograms, hexograms and regular grids. Minimising misrepresentation in spatial data visualisations
Paper exploring the extent to which different methods of visualising area-based data can remedy (or exacerbate) misrepresentation by presenting results from a crowdsourced survey.
Samuel Langton
,
Reka Solymosi
Preprint
PDF
Code
Residential burglary target selection. An analysis at the property-level using Google Street View
Paper using Google Street View data to investigate the extent to which the physical attributes of residential homes contribute to the risk of burglary. Please feel free to contact me for a copy if you do not have access!
Samuel Langton
,
Wouter Steenbeek
PDF
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