Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Samuel Langton"'
Offender residence locations: exploring the impact of spatial scale on variability and concentration
Publikováno v:
Journal of Spatial Information Science, Iss 28, Pp 129-151 (2024)
In recent decades, the analysis of different geographic scales for studying the spatial patterning of crime has profoundly deepened our theoretical grasp of crime dynamics. However, a similar investigation is lacking when it comes to the patterning o
Externí odkaz:
https://doaj.org/article/50b5facb574f4b9882be15472de6c391
Publikováno v:
Crime Science, Vol 13, Iss 1, Pp 1-16 (2024)
Abstract This preregistered scoping review provides an account of studies which have examined the spatial patterning of emergency reactive police demand (ERPD) as measured by calls for service data. To date, the field has generated a wealth of inform
Externí odkaz:
https://doaj.org/article/a046cc11990b4ac5bd9633adb4c770f9
Publikováno v:
Crime Science, Vol 12, Iss 1, Pp 1-8 (2023)
Abstract Analyses of emergency calls for service data in the United States suggest that around 50% of dispatched police deployment time is spent on crime-related incidents. The remainder of time is spent in a social service capacity: attending well-b
Externí odkaz:
https://doaj.org/article/aba3699b60ea420e9dd79f6cd3da60fe
Publikováno v:
Crime Science, Vol 10, Iss 1, Pp 1-16 (2021)
Abstract Governments around the world have enforced strict guidelines on social interaction and mobility to control the spread of the COVID-19 virus. Evidence has begun to emerge which suggests that such dramatic changes in people’s routine activit
Externí odkaz:
https://doaj.org/article/018690199fed46d9b9c095b2a203ea3c
Publikováno v:
Police Practice and Research. :1-16
Publikováno v:
Journal of Computational Social Science. 4:655-680
Longitudinal clustering techniques are widely deployed in computational social science to delineate groupings of subjects characterized by meaningful developmental trends. In criminology, such methods have been utilized to examine the extent to which
Autor:
Mark Ellison, Karolina Krzemieniewska-Nandwani, Muhammad Salman Haleem, Samuel Langton, Jon Bannister
Addressing public safety and welfare, inclusive of responding to incidents involving persons with mental ill-health (PMIH) has become an integral dimension of, and a significant challenge to, contemporary policing. Yet, little is known of the scale a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d1cead5e6608dd838f8d1322b4ff525
https://e-space.mmu.ac.uk/628183/
https://e-space.mmu.ac.uk/628183/
Purpose The aim of this study is to examine small area variation in crime trajectories during the COVID-19 pandemic in England and Wales. While we know how police-recorded crime responded to lockdown policies at the ‘macro’ level, less is known a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bbf432b56f1536c8ca7066b4a5440b3
https://eprints.whiterose.ac.uk/175935/1/JCJ_Small_areas_COVID_2021_4Symplectic.pdf
https://eprints.whiterose.ac.uk/175935/1/JCJ_Small_areas_COVID_2021_4Symplectic.pdf
Cartograms, hexograms and regular grids: Minimising misrepresentation in spatial data visualisations
Autor:
Reka Solymosi, Samuel Langton
Publikováno v:
Environment and Planning B: Urban Analytics and City Science. 48:348-357
The visualisation of spatial information is a powerful tool for researchers in urban analytics seeking to convey their findings to the wider research community and the public in an accessible way. Yet, even the most well-intentioned cartographer may
Publikováno v:
A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R ISBN: 9783030506247
In this chapter, we focus on characteristics of the normal distribution and single-sample significance tests that are used for variables measured at the ratio and interval levels. Specifically, this chapter reviews percentages under the normal curve,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cee14d09f27c93e2d623b9d51e24b0c6
https://doi.org/10.1007/978-3-030-50625-4_10
https://doi.org/10.1007/978-3-030-50625-4_10