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Computational models for understanding movement and territory

Bevan, AH; (2011) Computational models for understanding movement and territory. In: Mayoral Herrera, V and Celestino Pérez, S, (eds.) Tecnologías de información geográfica y análisis arqueológico del territorio: Actas del V Simposio Internacional de Arqueología de Mérida. (383 - 394). Consejo Superior de Investigaciones Científicas: Mérida. Green open access

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Abstract

This paper considers a range of computational approaches for modelling human and animal movement, with the ultimate goal then being explanation of patterns in the archaeological record. It revisits traditional GIS-led cost surface analysis and highlights the need both to test such models more carefully and to make them more context-sensitive. This provides a basis for considering a case study from Bronze Age Crete and for suggesting ways in which movement models can used more imaginatively to address issues such as the development of political territories. The final discussion looks to broaden the scope of movement modelling by highlighting a range of other promising techniques and possible applications.

Type: Book chapter
Title: Computational models for understanding movement and territory
ISBN-13: 978-84-00-09407-2
Open access status: An open access version is available from UCL Discovery
Publisher version: http://libros.csic.es/product_info.php?cPath=87&pr...
Language: English
Additional information: This is a Postprint version of the chapter submitted to Sistemas de Información Geográfica y Análisis Arquelógico del Territorio. V Simposio Internacional de Arqueología de Mérida.
Keywords: Xtent, networks, cost surfaces, least cost paths, GIS
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of SandHS > Institute of Archaeology
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of SandHS > Institute of Archaeology > Institute of Archaeology Gordon Square
URI: http://discovery.ucl.ac.uk/id/eprint/149233
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