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Reconstructing a painful past: A non-invasive approach to reconstructing Lager Norderney in Alderney, the Channel Islands.

STURDY COLLS, Caroline and COLLS, Kevin (2014) Reconstructing a painful past: A non-invasive approach to reconstructing Lager Norderney in Alderney, the Channel Islands. In: Visual Heritage in the Digital Age. Springer, New York, pp. 119-146. ISBN 978-1-4471-5535-5

[thumbnail of Sturdy Colls, C. and Colls, K. 2014. Reconstructing a painful past: A non-invasive approach to reconstructing Lager Norderney in Alderney, the Channel Islands. In Ch’ng, E. (ed.) Visual Heritage in the Digital Age. New York: Springer.] Text (Sturdy Colls, C. and Colls, K. 2014. Reconstructing a painful past: A non-invasive approach to reconstructing Lager Norderney in Alderney, the Channel Islands. In Ch’ng, E. (ed.) Visual Heritage in the Digital Age. New York: Springer.)
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Official URL: http://www.springer.com/us/book/9781447155348

Abstract or description

Visual technology represents a powerful tool that can invoke a sense of
place in a virtual world and bring the results of archaeological surveys into public
consciousness. Such techniques are particularly useful when excavation is
impractical or not permitted. This chapter outlines the results of the investigations
on the site of the former labour camp of Lager Norderney in the Channel Islands.
In the past, opinions concerning the site have revolved around the perception that it
was destroyed. Archaeological survey has demonstrated that this is not the case
and the presentation of these findings through digital means has offered new
insights into their form, function and surviving extent without ground disturbance.
By employing a methodology that addresses all of the physical and cultural layers
associated with this painful period of history, it has been possible to generate
resources that mitigate against some of the issues surrounding the investigation of
the site.

Item Type: Book Chapter, Section or Conference Proceeding
Uncontrolled Keywords: INCL
Faculty: Previous Faculty of Computing, Engineering and Sciences > Sciences
Depositing User: Kevin COLLS
Date Deposited: 25 Oct 2016 14:20
Last Modified: 24 Feb 2023 03:48
URI: https://eprints.staffs.ac.uk/id/eprint/2577

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