| Modifiable temporal unit problem (MTUP) and its effect on space-time cluster detection T Cheng, M Adepeju PloS one 9 (6), e100465, 2014 | 186 | 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 | 94 | 2016 |
| Detecting emerging space-time crime patterns by prospective STSS T Cheng, M Adepeju Proceedings of the 12th international conference on geocomputation 6, 2013 | 21 | 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 | 15 | 2021 |
| CPC: Crime Policing & Citizenship - Intelligent policing and big data T Cheng, K Bowers, P Longley, J Shawe-Taylor, T Davies, G Rosser, ... | 12 | 2016 |
| 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 | 10 | 2021 |
| 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 | 10 | 2021 |
| 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 | 6 | 2020 |
| akmedoids: Anchored Kmedoids for Longitudinal Data Clustering M Adepeju, S Langton, J Bannister | 5 | 2020 |
| Modelling of Sparse Spatio-Temporal Point Process (STPP) – An application in Predictive Policing M Adepeju University College London, United Kingdom, 2017 | 5 | 2017 |
| A dynamic microsimulation framework for generating synthetic spatiotemporal crime patterns M Adepeju, A Evans GIS Research UK, 2018 | 4 | 2018 |
| 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 | 3 | 2018 |
| Investigating the Repeat and Near-Repeat Patterns in Sub-categories of burglary crime M Adepeju International Conference on GeoComputation 2017, Leeds, UK, 2017 | 3 | 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 | 3 | 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 | 2 | 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 | 2* | 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 | 1 | 2023 |
| Greater Manchester Violence Reduction Unit: BLOCKS Implementation Evaluation J Bannister, R Thomas, M Adepeju, M Ellison, ... MMU e-space, 2024 | | 2024 |
| Offender residence locations: exploring the impact of spatial scale on variability and concentration M Adepeju, W Steenbeek, S Langton Journal of Spatial Information Science 28, 129-151, 2024 | | 2024 |
| ‘StppSim’: A Novel Analytical Tool for Creating Synthetic Spatiotemporal Crime Point Data M Adepeju CrimRxiv, 2023 | | 2023 |
Tao ChengProfessor in GeoInformatics, University College LondonVerified email at ucl.ac.uk
