Monsuru Adepeju
Title
Cited by
Cited by
Year
Modifiable temporal unit problem (MTUP) and its effect on space-time cluster detection
T Cheng, M Adepeju
PloS one 9 (6), e100465, 2014
762014
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
462016
Detecting emerging space-time crime patterns by prospective STSS
T Cheng, M Adepeju
Proceedings of the 12th international conference on geocomputation, 2013
152013
CPC: Crime Policing & Citizenship - Intelligent policing and big data
T Cheng, K Bowers, P Longley, J Shawe-Taylor, T Davies, G Rosser, ...
92016
Investigating the Repeat and Near-Repeat Patterns in Sub-categories of burglary crime
M Adepeju
International Conference on GeoComputation 2017, Leeds, UK, 2017
32017
Modelling of Sparse Spatio-Temporal Point Process (STPP) – An application in Predictive Policing
M Adepeju
University College London, United Kingdom, 2017
32017
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
22018
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
A dynamic microsimulation framework for generating synthetic spatiotemporal crime patterns
M Adepeju, A Evans
GIS Research UK, 2018
12018
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
12017
An examination of variability in offender residences across different spatial scales. A case study in Birmingham.
S Langton, W Steenbeek, M Adepeju
SocArXiv, 2020
2020
'Akmedoids' R-Package for Longitudinal Data Clustering
M Adepeju, S Langton, J Bannister
R statistical package v0.1.0, 2019
2019
Estimating cycling potential on route networks in Accra and Kathmandu: A feasibility study using open data and open source software
R Lovelace, M Padgham, M Adepeju, N Groot
WHO Meeting on transport and health, 2018
2018
Testing the adequacy of a single-value Monte Carlo simulation for space-time interaction analysis of crime
M Adepeju
Computational Science and Its Applications - ICCSA 2017 10409, 779-786, 2017
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
2017
A fast Sparse spatio-temporal point process (STPP) hotspot method for improved predictive accuracy
M Adepeju, T Cheng
9th International Conference on Geographic Information Science, 2016
2016
A new metric of crime hotspots for Operational Policing Monsuru Adepeju
M Adepeju, T Cheng, J Shawe-Taylor, K Bowers
2014
Detection of Space-Time Crime Patterns for Predictive Policing
M Adepeju, T Cheng, T Nakaya
Association of American Geographers, Annual Meeting, 2013
2013
A guide to measuring long-term inequality in the exposure to crime at micro-area levels using'Akmedoids' package
M Adepeju, S Langton, J Bannister
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
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