rcarbon 
This package enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014), random mark permutation test (Crema et al 2016, Bevan et al 2017) point-to-point test (Edinborough et al 2017), and spatial permutation test (Crema, Bevan, and Shennan 2017). For more details see the associated paper (Crema and Bevan 2020).
To install the stable version from CRAN:
install.packages('rcarbon')
To install the latest development version:
# "devtools" package required
devtools::install_github('ahb108/rcarbon')
Citation
To cite rcarbon in pubblications use:
Crema, E.R., Bevan, A. 2020 Inference from Large Sets of Radiocarbon Dates: Software and Methods Radiocarbon, doi:10.1017/RDC.2020.95
References
Bevan, A. Colledge,S., Fuller, D., Fyfe, R., Shennan, S., Stevens, C. 2017.Holocene fluctuations in human population demonstrate repeated links to food production and climate. Proceedings of the National Academy of Sciences of the United States of America. doi:10.1073/pnas.1709190114
Crema, E.R., Bevan, A. 2020 Inference from Large Sets of Radiocarbon Dates: Software and Methods Radiocarbon, doi:10.1017/RDC.2020.95
Crema, E.R., Bevan, A., Shennan, S., 2017. Spatio-temporal approaches to archaeological radiocarbon dates. Journal of Archaeological Science 87, 1–9. doi:10.1016/j.jas.2017.09.007
Crema, E.R., Habu, J., Kobayashi, K., Madella, M., 2016. Summed Probability Distribution of 14 C Dates Suggests Regional Divergences in the Population Dynamics of the Jomon Period in Eastern Japan. PLOS ONE 11, e0154809. doi:10.1371/journal.pone.0154809
Edinborough, K., Porcic, M., Martindale, A., Brown, T.J., Supernant, K, Ames, K.M. 2017. Radiocarbon test for demographic events in written and oral history, Proceedings of the National Academy of Sciences of the United States of America, 114 (47), 12436–12441. doi:10.1073/pnas.1713012114
Timpson, A., Colledge, S., Crema, E., Edinborough, K., Kerig, T., Manning, K., Thomas, M.G., Shennan, S., 2014. Reconstructing regional population fluctuations in the European Neolithic using radiocarbon dates: a new case-study using an improved method. Journal of Archaeological Science 52, 549–557. doi:10.1016/j.jas.2014.08.011
Case Studies Using rcarbon
Aubán, J.B., Jiménez-Puerto, J., Ruiz, P.E., Gordo, S.P., 2018. C14 y poblamiento en las comarcas centro-meridionales del País Valenciano (c. 7000-1500 cal BC). Recerques del Museu d’Alcoi 0, 35-48–48.
Barnett, R. L., Charman, D. J., Johns, C., Ward, S. L., Bevan, A., Bradley, S. L., et al. 2020. Nonlinear landscape and cultural response to sea-level rise. Science Advances, 6(45), eabb6376. 6
Becker, F., Knitter, D., Nykamp, M., Schütt, B., 2020. Meta-Analysis of Geomorphodynamics in the Western Lower Bakırçay Plain (Aegean Region, Turkey). Land 9, 338.
Bevan, A. Colledge,S., Fuller, D., Fyfe, R., Shennan, S., Stevens, C. 2017.Holocene fluctuations in human population demonstrate repeated links to food production and climate. Proceedings of the National Academy of Sciences of the United States of America, 114 (49) E10524-E10531. doi:10.1073/pnas.1709190114
Bird, D., Freeman, J., Robinson, E., Maughan, G., Finley, J.B., Lambert, P.M., Kelly, R.L., 2020. A first empirical analysis of population stability in North America using radiocarbon records. The Holocene.
Broodbank, C., Lucarini, G. 2019. The Dynamics of Mediterranean Africa, ca. 9600–1000 bc: An Interpretative Synthesis of Knowns and Unknowns, Journal of Mediterranean Archaeology, 32(2), 195-267.
Broughton,J.M., Weitzel,E.M. 2018. Population reconstructions for humans and megafauna suggest mixed causes for North American Pleistocene extinctions.Nature Communications, 9, 5441. doi:10.1038/s41467-018-07897-1
Brown, A. A., Crema, E. R. 2019. Māori Population Growth in Pre-contact New Zealand: Regional Population Dynamics Inferred From Summed Probability Distributions of Radiocarbon Dates. The Journal of Island and Coastal Archaeology, 1–19.
Cascalheira, J., Alcaraz-Castaño, M., Alcolea-González, J., de Andrés-Herrero, M., Arrizabalaga, A., Aura Tortosa, J.E., Garcia-Ibaibarriaga, N., Iriarte-Chiapusso, M.-J., 2020. Paleoenvironments and human adaptations during the Last Glacial Maximum in the Iberian Peninsula: A review. Quaternary International.
Cheddadi, R., Palmisano, A., López-Sáez, J. A., Nourelbait, M., Zielhofer, C., Tabel, J., et al. 2019. Human demography changes in Morocco and environmental imprint during the Holocene The Holocene, 0959683619826657. doi:10.1177/0959683619826657
Crema, E.R., Bevan, A. 2020 Inference from Large Sets of Radiocarbon Dates: Software and Methods Radiocarbon, doi:10.1017/RDC.2020.95
Crema, E.R., Bevan, A., Shennan, S., 2017. Spatio-temporal approaches to archaeological radiocarbon dates. Journal of Archaeological Science 87, 1–9. doi:10.1016/j.jas.2017.09.007
Crema, E.R. 2020 Non-Stationarity and Local Spatial Analysis, In Gillings, M., Hacıgüzeller, P., Lock,G. (Eds.) Archaeological Spatial Analysis: A Methodological Guide, Taylor & Francis, London.
Crema, E.R., Kobayashi, K., 2020. A multi-proxy inference of Jōmon population dynamics using bayesian phase models, residential data, and summed probability distribution of 14C dates. Journal of Archaeological Science 117, 105136.
Deforce K., Groenewoudt B., Haneca K. 2020. 2500 years of charcoal production in the Low Countries: The chronology and typology of charcoal kilns and their relation with early iron production.. Quaternary International.
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