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Article

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.