Monsuru Adepeju
Cited by
Cited by
Modifiable temporal unit problem (MTUP) and its effect on space-time cluster detection
T Cheng, M Adepeju
PloS one 9 (6), e100465, 2014
Novel Evaluation Metrics for Sparse Spatio-Temporal Point Process Hotspot Predictions - a Crime Case Study
M Adepeju, R Gabriel, T Cheng
International Journal of geographical information science, 2016
Detecting emerging space-time crime patterns by prospective STSS
T Cheng, M Adepeju
Proceedings of the 12th international conference on geocomputation 6, 2013
Anchored k-medoids: a novel adaptation of k-medoids further refined to measure long-term instability in the exposure to crim
M Adepeju, S Langton, J Bannister
Journal of Computational Social Science, 2021
CPC: Crime Policing & Citizenship - Intelligent policing and big data
T Cheng, K Bowers, P Longley, J Shawe-Taylor, T Davies, G Rosser, ...
An Analytical Framework for Measuring Inequality in the Public Opinions on Policing–Assessing the Impacts of COVID-19 Pandemic Using Twitter Data
M Adepeju, F Jimoh
Journal of Geographic Information System 13, 122-147, 2021
Evaluation of the Impact of Alcohol Minimum Unit Pricing (MUP) on Crime and Disorder, Public Safety and Public Nuisance
K Krzemieniewska-Nandwani, J Bannister, M Ellison, M Adepeju
Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets
M Adepeju, S Langton, J Bannister
Journal of Open Source Software 5 (56), 2379-2379, 2020
A dynamic microsimulation framework for generating synthetic spatiotemporal crime patterns
M Adepeju, A Evans
GIS Research UK, 2018
Modelling of Sparse Spatio-Temporal Point Process (STPP) – An application in Predictive Policing
M Adepeju
University College London, United Kingdom, 2017
Determining the optimal spatial and temporal thresholds that maximise the predictive accuracy of the Prospective Space-Time Scan Statistic (PSTSS) hotspot method
M Adepeju, A Evans
Journal of Spatial Information Science, 22, 2018
Investigating the Repeat and Near-Repeat Patterns in Sub-categories of burglary crime
M Adepeju
International Conference on GeoComputation 2017, Leeds, UK, 2017
Comparative analysis of two variants of the Knox test: Inferences from space-time crime pattern analysis
M Adepeju, A Evans
Computational Science and Its Applications – ICCSA 2017 10409, 770-778, 2017
Investigating the impacts of training data set length (T) and the aggregation unit size (M) on the accuracy of the self-exciting point process (SEPP) hotspot method
M Adepeju, A Evans
International Conference on GeoComputation, 2017, Leeds, UK, 2017
Determining the optimal spatial scan extent (K) of a Prospective space-time scan statistics (PSTSS) that maximises the predictive accuracy of crime prediction
M Adepeju, T Cheng
25th GIS Research UK Conference, Manchester, 2017
‘StppSim’: A Novel Analytical Tool for Creating Synthetic Spatiotemporal Point Data
M Adepeju
Open Journal of Modelling and Simulation 11 (4), 1-20, 2023
Offender residence locations: exploring the impact of spatial scale on variability and concentration
M Adepeju, S Langton, W Steenbeek
Journal of Spatial Information Science (In press), 2024
‘StppSim’: A Novel Analytical Tool for Creating Synthetic Spatiotemporal Crime Point Data
M Adepeju
CrimRxiv, 2023
Is the Policing Prioritisation of and Response to Crime Equitable? An Examination of Frontline Policing Deployment to Incidents of Violence-Against-The-Person
J Bannister, M Adepeju, M Ellison
Handbook of Crime and Inequality, 1-33, 2023
Estimating the effects of crime maps on house prices using an (un) natural experiment: a study protocol
M Zhang, M Adepeju, R Thomas
PLoS One 17 (12), 1-16, 2022
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