Digital, computational, and quantitative methods are now essential components of archaeological research that are routinely employed by its practitioners. Archaeologists are no longer passive users, but are instead actively engaged into the development of new techniques to support the front-end of archaeological science.
The Computational and Digital Archaeology Laboratory (CDAL, /ˈsiːˌdɑːl/) brings together researchers at the doctoral, post-doctoral and faculty levels that are committed to this endeavour. Members are experts of a variety of computational and digital methods, including GIS, agent-based simulation, network analysis, spatial statistics, remote-sensing, and digital support for fieldwork tasks. Current research spans from the reconstruction of the hydrological network in Central Asia to the computational modelling of cultural transmission.
The laboratory hosts meetings, a journal reading club, and a workshop series with international speakers. The CDAL Workshop calendar can be found here. For more information please contact Enrico Crema (firstname.lastname@example.org)
- Enrico Crema : ABM, Statistics, Spatial Analysis, GIS
- Tom Leppard : GIS, ABM, gravity/interaction models
- Hector Orengo : GIS, Remote Sensing, Network Analysis
- Cameron Petrie : Prehistoric archaeology, Human/Environment interaction, GIS
- Corinne Roughley : GIS, Remote Sensing, Visualisation
- Toby Wilkinson : Route/trade modelling, GIS, Open Data/Digital Collaboration and Publication
Biagetti, S., Alcaina-Mateos, J., Crema, E.R. (2016). A matter of ephemerality. The study of Kel Tadrart campsites via quantitative spatial analysis. Ecology and Society 21 (1): 42, DOI: http://dx.doi.org/10.5751/ES-08202-210142
Carmona, P., Ruiz-Pérez, J.M., Blázquez, A.M., López-Belzunce, M., Riera-Mora, S., Orengo, H.A. (2016) Geomorphological evolution and Holocene climate events in the Albufera lagoon of Valencia (Mediterranean coast of Spain). The Holocene. DOI: 10.1177/0959683616645940
Crema, E.R., Lake, M. (2015) Cultural Incubators and Spread of Innovation, Human Biology, 87 (3), 151-168.
Crema, E.R. (2015). Time and probabilistic reasoning in Settlement Analysis. In Barceló, J.A., Bogdanovic, I. (Eds.) Mathematics in Archaeology, CRC Press, pp. 314-334.
Crema E.R. (2015). Modeling settlement rank-size fluctuations. In Wurzer, G. Kowarik, K. and Reschreiter, H. (eds.) Agent-based modeling and Simulation in Archaeology. Advances in Geographic Information Science, Springer, pp.161-181.
Crema, E.R. ,Habu, J., Kobayashi, K., Madella, M. (2016). Summed Probability Distribution of 14C Dates Suggests Regional Divergences in the Population Dynamics of the Jomon Period in Eastern Japan. PloS ONE 11(4): e0154809, DOI: http://dx.doi.org/10.1371/journal.pone.0154809
Leppard, Thomas P. (2015) Adaptive responses to demographic fragility: mitigating stochastic effects in early island colonization. Human Ecology 43(5): 721-734.
Livarda, A., Orengo, H.A. (2015) Reconstructing the Roman London flavourscape: new insights into the exotic food plant trade using network and spatial analyses. Journal of Archaeological Science, 55: 244-52.
Orengo, H.A. (2015) Open source GIS and geospatial software: towards their integration into everyday archaeological practice. In A.T. Wilson & B. Edwards (eds.) Open source archaeology – Ethics and Practice. Warsaw, De Gruyter: 64-82.
Orengo, H.A., Livarda, A. (2016) The seeds of commerce: a network analysis-based approach to the Romano-British transport system. Journal of Archaeological Science, 66: 21-35.
Orengo, H.A., Krachtopoulou, A., Garcia-Molsosa, A., Palaiochoritis, K., Stamati, A. (2015) Photogrammetrical re-discovery of the Eastern Thessalian hidden long-term landscapes. Journal of Archaeological Science, 64: 100-9.
Shennan, S., Crema, E.R., Kerig, T. (2015). Isolation-by-distance, homophily, and "core" vs. "package" cultural evolution models in Neolithic Europe. Evolution and Human Behaviour. 36 (2), 103-109.