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Modeling Conflict Dynamics with Spatio-temporal Data pp 1–14Cite as

Conflict Data Sets and Point Patterns

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Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSMATHMETH))

Abstract

This chapter gives a high-level, non-technical, introduction to the motivation behind the approach adopted to studying conflict in this book and the underlying mathematical principles.

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Notes

  1. 1.

    National Consortium for the Study of Terrorism and Responses to Terrorism (2011). Retrieved from http://www.start.umd.edu/gtd.

  2. 2.

    For a recent review on available conflict data sets see Schrodt (2012).

  3. 3.

    http://www.police.uk/data

  4. 4.

    http://www.nyclu.org/content/stop-and-frisk-data

  5. 5.

    For example in Nottinghamshire in March of 2013, 590 of the 8,298 reported crimes were “Vehicle crime”; in NYC in 2011, 10 of the 685,725 reported crimes involved a machine gun.

  6. 6.

    Intuitively, the conflict intensity will be greater in spatial locations where many agents involved in the conflict are present; we stress however that we do not have, nor do we seek, a formal equivalence between our field-based approach and any specific agent-based model.

  7. 7.

    After the Reverend Thomas Bayes (1701–1761), an English Presbyterian minister and mathematician.

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Author information

Authors and Affiliations

  1. School of Geographical Sciences/Department of Mathematics, The University of Bristol, University Road, Bristol, UK

    Andrew Zammit-Mangion

  2. R & D Lab, New York Times, New York, NY, 10036, USA

    Michael Dewar

  3. Automatic Control an Systems Engineering, The University of Sheffield, Mappin Street, Sheffield, UK

    Visakan Kadirkamanathan

  4. German Institute of Global and Area Studies, Hamburg, Germany

    Anaïd Flesken

  5. School of Informatics, University of Edinburgh, Edinburgh, UK

    Guido Sanguinetti

Authors
  1. Andrew Zammit-Mangion
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  2. Michael Dewar
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  3. Visakan Kadirkamanathan
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  4. Anaïd Flesken
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  5. Guido Sanguinetti
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Corresponding author

Correspondence to Andrew Zammit-Mangion .

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Zammit-Mangion, A., Dewar, M., Kadirkamanathan, V., Flesken, A., Sanguinetti, G. (2013). Conflict Data Sets and Point Patterns. In: Modeling Conflict Dynamics with Spatio-temporal Data. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-01038-0_1

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