Nick Malleson
TitleCited byYear
Testing the stability of crime patterns: Implications for theory and policy
MA Andresen, N Malleson
Journal of Research in Crime and Delinquency 48 (1), 58-82, 2011
Crime reduction through simulation: An agent-based model of burglary
N Malleson, A Heppenstall, L See
Computers, environment and urban systems 34 (3), 236-250, 2010
The impact of using social media data in crime rate calculations: shifting hot spots and changing spatial patterns
N Malleson, MA Andresen
Cartography and Geographic Information Science 42 (2), 112-121, 2015
Crime seasonality and its variations across space
MA Andresen, N Malleson
Applied Geography 43, 25-35, 2013
Spatio-temporal crime hotspots and the ambient population
N Malleson, MA Andresen
Crime science 4 (1), 10, 2015
Probabilistic spatial risk assessment of heat impacts and adaptations for London
K Jenkins, J Hall, V Glenis, C Kilsby, M McCarthy, C Goodess, D Smith, ...
Climatic change 124 (1-2), 105-117, 2014
Agent-based modelling of burglary
N Malleson
University of Leeds, 2010
Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk
N Malleson, A Heppenstall, L See, A Evans
Environment and Planning B: Planning and Design 40 (3), 405-426, 2013
Analysis of crime patterns through the integration of an agent-based model and a population microsimulation
N Malleson, M Birkin
Computers, Environment and Urban Systems 36 (6), 551-561, 2012
Crime at places and spatial concentrations: Exploring the spatial stability of property crime in Vancouver BC, 2003–2013
MA Andresen, SJ Linning, N Malleson
Journal of quantitative criminology 33 (2), 255-275, 2017
Implementing comprehensive offender behaviour in a realistic agent-based model of burglary
N Malleson, L See, A Evans, A Heppenstall
Simulation 88 (1), 50-71, 2012
Exploring the impact of ambient population measures on London crime hotspots
N Malleson, MA Andresen
Journal of Criminal Justice 46, 52-63, 2016
Assessing the long-term performance of cross-sectoral strategies for national infrastructure
JW Hall, JJ Henriques, AJ Hickford, RJ Nicholls, P Baruah, M Birkin, ...
Journal of Infrastructure Systems 20 (3), 04014014, 2014
“Space, the Final Frontier”: How Good are Agent-Based Models at Simulating Individuals and Space in Cities?
A Heppenstall, N Malleson, A Crooks
Systems 4 (1), 9, 2016
Spatial heterogeneity in crime analysis
MA Andresen, N Malleson
Crime modeling and mapping using geospatial technologies, 3-23, 2013
An agent-based model of burglary
N Malleson, A Evans, T Jenkins
Environment and Planning B: Planning and Design 36 (6), 1103-1123, 2009
Police foot patrol and crime displacement: a local analysis
MA Andresen, N Malleson
Journal of Contemporary Criminal Justice 30 (2), 186-199, 2014
Dynamic calibration of agent-based models using data assimilation
JA Ward, AJ Evans, NS Malleson
Royal Society open science 3 (4), 150703, 2016
How places influence crime: The impact of surrounding areas on neighbourhood burglary rates in a British city
A Hirschfield, M Birkin, C Brunsdon, N Malleson, A Newton
Urban Studies 51 (5), 1057-1072, 2014
Intra-week spatial-temporal patterns of crime
MA Andresen, N Malleson
Crime science 4 (1), 12, 2015
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Articles 1–20