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Malleson, N., Evans, A., Heppenstall, A.J. & See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065
(2013).
The Leeds Burglary Simulator.
Informatica e diritto 1 (2013), 211-222.
Malleson, N., Heppenstall, A.J., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Evans, A.
(2013).
Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk.
Environment and Planning B: Planning and Design 40 (3), 405-426. 10.1068/b38057.
Book Section
Malleson, N., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Evans, A. & Heppenstall, A.J.
(2014).
Optimising an agent-based model to explore the behaviour of simulated burglars.
In:
Theories and Simulations of Complex Social Systems.
Eds. Dabbaghian, V. & Mago, V.K.,
Berlin: Springer.
10.1007/978-3-642-39149-1_12.
Al-Ahmadi, K., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Heppenstall, A.J.
(2013).
Validating spatial patterns of urban growth from a cellular automata model.
In:
Emerging Applications of Cellular Automata.
Eds. Salcido, A,
Rijeka: InTech.
10.5772/51708.
Batty, M., Crooks, A.T., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Heppenstall, A.J.
(2012).
Perspectives on agent-based models and geographical systems.
In:
Agent-Based Models of Geographical Systems.
Eds. Heppenstall, AJ, Crooks, AT, See, LM ORCID: https://orcid.org/0000-0002-2665-7065 & Batty, M,
Dordrecht: Springer.
10.1007/978-90-481-8927-4_1.
Heppenstall, A.J., Crooks, A.T., Batty, M. & See, L. ORCID: https://orcid.org/0000-0002-2665-7065
(2012).
Reflections and conclusions: Geographical models to address grand challenges.
In:
Agent-Based Models of Geographical Systems.
Eds. Heppenstall, AJ, Crooks, AT, See, LM ORCID: https://orcid.org/0000-0002-2665-7065 & Batty, M,
Dordrecht: Springer.
10.1007/978-90-481-8927-4_37.
Book
Heppenstall, A.J., Crooks, A.T., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Batty, M.
(2012).
Agent-based Models of Geographical Systems.
Dordrecht: Springer.
ISBN 978-90-481-8926-7