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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.

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.

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

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.