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The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Finding Byzantine junctions with Steiner trees

·2014·Computational Approaches to the Study of Movement in Archaeology

Abstract

The Byzantine road system in Cappadocia (Turkey) is known in reasonable detail. Reconstructions of the road system by Hild (1977) show the most probable location of the routes that were built and maintained by the imperial administration. Unlike the earlier Roman routes, these were not only built to establish fast connections between major cities; rather, they were intended to connect all administrative and religious centres in the area. A conspicuous element of this connecting network is the fact that road junctions are found in the countryside, without any corresponding traces of settlement. Least cost path models trying to connect the centres will inevitably fail to identify these junctions, since LCP modelling will only create routes between single sources and targets, and not find the optimal network solution to connect three or more destinations. Steiner trees are an appropriate mathematical solution to deal with this problem; however, applications in GIS are lacking up to now. In this paper we would like to present the preliminary results of a case study showing that it is technically possible to use Steiner trees in conjunction with cost surfaces. The modelling results seem promising, as the resulting connections are closer to the documented ones than those resulting from least cost path modelling. However, there are substantial unresolved issues regarding the implementation of this method in GIS.

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Research works printed but not linked: 10

  1. Bachrach, B.S. (1993) "Animals and Warfare in Early Medieval Europe", in: B.S. Bachrach (ed.), Armies and Politics in the Early Medieval West, Aldershot, 708-751.
  2. Bell, T. / Wilson, A. / Wickham, A. (2002) "Tracking the Samnites: Landscape and Communication Routes in the Sangro Valley, Italy", in: American Journal of Archaeology 106, 169-186.
  3. Bell, T. / Lock, G. (2000) "Topographic and Cultural Influences on Walking the Ridgeway in Later Prehistoric Times", in: G. Lock (ed.), Beyond the Map: Archaeology and Spatial Technologies, Amsterdam, 85-100.
  4. Cuntz, O. (ed.) (1990) Itineraria Romana. Bd. 1: Itineraria Antonini Augusti et Burdigalense, Stuttgart.
  5. Fairén Jiménez, S. (2004) "¿Se hace camino al andar? Influencia de las variables medioambientales y culturales en el cálculo de caminos óptimos mediante SIG", in: Trabajos de Prehistoria 61(2), 25-40.
  6. Llobera, M. (2000) "Understanding Movement: A Pilot Model towards the Sociology of Movement", in: Lock, G. (ed.), Beyond the Map: Archaeology and Spatial Technologies, Amsterdam, 65-84.
  7. Llobera, M. (2001) "Building Past Perceptions with GIS: Understanding Topographic Prominence", in: Journal of Archaeological Science 28, 1005-1014.
  8. Mitford, T.B. (2000) "Map 64 Caesarea-Melitene" in: R.J.A. Talbert (ed.), Barrington Atlas of the Greek and Roman World, Princeton.
  9. Mueller, J. (1968) "An Introduction to the Hydraulic and Topographic Sinuosity Indexes", in: Annals of the Association of American Geographers 58(2), 371-385.
  10. Quilici, L. (1995) "La Via Salaria da Roma all'alto Velino: la tecnica costruttiva dei manufatti stradali", in: L. Quilici / S. Quilici Gigli (eds.), Strade romane: percorsi e infrastrutture, Atlante tematico di topografia antica 2, Rome, 85-154.

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Metadata

Venue
Computational Approaches to the Study of Movement in Archaeology
Publisher
De Gruyter
Published
2014-12-31
Pages
73-98
Cited by
3
References
40

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Finding Byzantine junctions with Steiner trees. (2014). Computational Approaches to the Study of Movement in Archaeology. https://doi.org/10.1515/9783110288384.73

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