Dr Monsuru Adepeju
Dr Monsuru Adepeju
Senior Research Associate
My profile
Biography
Academic and professional qualifications
PhD in Geographic Information Science, 2017 (University College London)
MSc in Geographic Information Science, 2012 (University College London)
BSc in Surveying and Geoinformatics, 2009 (University of Lagos, Nigeria)
ND in Surveying and Geoinformatics, 2002 (Federal School of Surveying, Oyo, Nigeria)
Prizes and awards
2013 Awards for a PhD in GIS & Crime Science (UCL Overseas Research Scholarship)
2012 Excellence awards for best MSc dissertation in GIS (UCL-NIS)
2011 Scholarship awards for an MSc in GIS (PTDF/UCL)
2010 Excellence & Service delivery award in Informatic/GIS (Plateau State, Nigeria)
2009 Awards for overall best in data entry & manipulation (Sivan Design, Israel)
2008 Best graduating student in Surveying and Geoinformatics Engineering (University of Lagos)
2004-2008 Unilag Scholar Award for 1st-Class students (won for 4 consecutive years)
2008 Best Student in Geodesy (University of Lagos, Nigeria)
2002 Overall best graduating student (Federal Survey School, Nigeria)
Personal website address
Research outputs
Inequality modelling
Crime and policing data analytics
Spatial and temporal modelling of geographical phenomenon
Social media data analytics
Machine learning
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Books (authored/edited/special issues)
Cheng, T., Bowers, K., Longley, P., Shawe-Taylor, J., Adepeju, M. (2016) CPC: Crime, Policing and Citizenship - Intelligent Policing and Big Data.
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Chapters in books
Bannister, J., Adepeju, M., Ellison, M. 'Is the policing prioritisation of and response to crime equitable? An examination of frontline policing deployment to incidents of violence-against-the-person.' In Farrall, S., McVie, S. (ed.) Handbook of Crime and Inequality. Edward Elgar Publishing,
Adepeju, M. (2017) 'Testing the adequacy of a single-value Monte Carlo simulation for space-time interaction of crime.' Computational Science and Its Applications - ICCSA.
Adepeju, M., EVANS, A. (2017) 'Comparative analysis of two variants of the Knox test: Inferences from space-time pattern analysis.' Computational Science and Its Applications - ICCSA 2017.
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Reports
Krzemieniewska-Nandwani, K., Bannister, J., Ellison, M., Adepeju, M. (2022) Evaluation of the Impact of Alcohol Minimum Unit Pricing (MUP) on Crime and Disorder, Public Safety and Public Nuisance.
Adepeju, M., Bannister, J., Ellison, M., Morris, S., Krzemieniewska-Nandwani, K. (2022) Directed Hotspot Policing with Contextual Safeguarding – A Randomised Control Trial.
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Journal articles
Adepeju, M., Steenbeek, W., Langton, S. (2024) 'Offender residence locations: exploring the impact of spatial scale on variability and concentration.' Journal of Spatial Information Science, (28) pp. 129-151.
Adepeju, M. (2023) '“stppSim”: a novel analytical tool for creating synthetic spatio-temporal point data.' Open Journal of Modelling and Simulation, 11(04) pp. 99-116.
Zhang, M.L., Adepeju, M., Thomas, R. (2022) 'Estimating the effects of crime maps on house prices using an (Un)natural experiment: A study protocol.' PLoS One, 17(12) pp. e0278463-e0278463.
Adepeju, M. (2021) 'R-Opitools – An Opinion Analytical Tool for Big Digital Text Document (DTD).' The Journal of Open Source Software, 6(64) pp. 3605-3605.
Adepeju, M., Jimoh, F. (2021) 'An Analytical Framework for Measuring Inequality in the Public Opinions on Policing – Assessing the impacts of COVID-19 Pandemic using Twitter Data.' Journal of Geographic Information System, 13(2) pp. 122-147.
Adepeju, M., Langton, S., Bannister, J. (2021) 'Anchored k-medoids : a novel adaptation of k-medoids further refined to measure long-term instability in the exposure to crime.' Journal of Computational Social Science, 4(2) pp. 655-680.
Adepeju, M., Langton, S., Bannister, J. (2020) 'Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets.' Journal of Open Source Software, 5(56) pp. 2379-2379.
Adepeju, M., Evans, A. (2018) 'Determining the optimal spatial and temporal thresholds that maximize the predictive accuracy of the prospective space-time scan statistic (PSTSS) hotspot method.' Journal of Spatial Information Science, (16) pp. 57-84.
Adepeju, M., Rosser, G., Cheng, T. (2016) 'Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions - a crime case study.' International Journal of Geographical Information Science, 30(11) pp. 2133-2154.
Cheng, T., Adepeju, M. (2014) 'Modifiable temporal unit problem (MTUP) and its effect on space-time cluster detection.' PLoS ONE, 9(6)
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Conference papers
Adepeju, M., Bannister, J., Langton, S. (2019) 'Shifting Inequality in the exposure to crime across micro places: An international comparison..' In European Society of Criminology. 19th Annual Conference of the European Society of Criminology; Ghent Belgium; 18 -21 September 2019., 18/9/2019 - 21/9/2019.
Adepeju, M., Evans, A. (2018) 'A dynamic microsimulation framework for generating synthetic spatiotemporal crime patterns..' 26th annual GIS Research UK conference, University of Leicester held from 17-20 April 2018,
Adepeju, M., Cheng, T. (2017) 'Determining the optimal spatial scan extent of Prospective spacetime scan statistics (PSTSS) for crime hotspot prediction.' In Proceedings of the 24th GIS Research UK conference. Manchester, UK,
Adepeju, M., Evans, A. (2017) 'Investigating the Repeat and Near-Repeat Patterns in Sub-categories of burglary crime..' In International Conference on GeoComputation. Leeds, UK,
Cheng, T., Adepeju, M. (2013) 'Detecting emerging space-time crime patterns by prospective STSS.' In Proceedings of the 12th international conference on geocomputation. Wuhan, China,
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Other
Adepeju, M. (2022) R-stppSim: Spatiotemporal Point Patterns Simulation. R Software Package Version 1.2.3. Available on CRAN..
Adepeju, M. (2021) 'R-Opitools': An R-package for Analyzing Opinions in a Text Document. R Software Package Version 1.8.0. Available on CRAN..
Adepeju, M., Langton, S., Bannister, J. (2019) R-Akmedoids tool for longitudinal data clustering. R Software Package Version 1.3.0. Available on CRAN..