ctv-archaeology | CRAN Task View : Archaeological Science

 by   benmarwick R Version: v1.0.0 License: No License

kandi X-RAY | ctv-archaeology Summary

kandi X-RAY | ctv-archaeology Summary

ctv-archaeology is a R library typically used in Data Science applications. ctv-archaeology has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

CRAN Task View: Archaeological Science
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              ctv-archaeology has a low active ecosystem.
              It has 126 star(s) with 39 fork(s). There are 31 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 9 have been closed. On average issues are closed in 22 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ctv-archaeology is v1.0.0

            kandi-Quality Quality

              ctv-archaeology has 0 bugs and 0 code smells.

            kandi-Security Security

              ctv-archaeology has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ctv-archaeology code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ctv-archaeology does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              ctv-archaeology releases are available to install and integrate.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ctv-archaeology
            Get all kandi verified functions for this library.

            ctv-archaeology Key Features

            No Key Features are available at this moment for ctv-archaeology.

            ctv-archaeology Examples and Code Snippets

            No Code Snippets are available at this moment for ctv-archaeology.

            Community Discussions

            QUESTION

            What does stopping the runtime while uploading a dataset to Hub cause?
            Asked 2022-Mar-24 at 01:06

            I am getting the following error while trying to upload a dataset to Hub (dataset format for AI) S3SetError: Connection was closed before we received a valid response from endpoint URL: "<...>".

            So, I tried to delete the dataset and it is throwing this error below.

            CorruptedMetaError: 'boxes/tensor_meta.json' and 'boxes/chunks_index/unsharded' have a record of different numbers of samples. Got 0 and 6103 respectively.

            Using Hub version: v2.3.1

            ...

            ANSWER

            Answered 2022-Mar-24 at 01:06

            Seems like when you were uploading the dataset the runtime got interrupted which led to the corruption of the data you were trying to upload. Using force=True while deleting should allow you to delete it.

            For more information feel free to check out the Hub API basics docs for details on how to delete datasets in Hub.

            If you stop uploading a Hub dataset midway through your dataset will be only partially uploaded to Hub. So, you will need to restart the upload. If you would like to re-create the dataset, you can use the overwrite = True flag in hub.empty(overwrite = True). If you are making updates to an existing dataset, you should use version control to checkpoint the states that are in good shape.

            Source https://stackoverflow.com/questions/71595867

            QUESTION

            Does Hub support integrations for MinIO, AWS, and GCP? If so, how does it work?
            Asked 2022-Mar-19 at 16:28

            I was taking a look at Hub—the dataset format for AI—and noticed that hub integrates with GCP and AWS. I was wondering if it also supported integrations with MinIO.

            I know that Hub allows you to directly stream datasets from cloud storage to ML workflows but I’m not sure which ML workflows it integrates with.

            I would like to use MinIO over S3 since my team has a self-hosted MinIO instance (aka it's free).

            ...

            ANSWER

            Answered 2022-Mar-19 at 16:28

            Hub allows you to load data from anywhere. Hub works locally, on Google Cloud, MinIO, AWS as well as Activeloop storage (no servers needed!). So, it allows you to load data and directly stream datasets from cloud storage to ML workflows.

            You can find more information about storage authentication in the Hub docs.

            Then, Hub allows you to stream data to PyTorch or TensorFlow with simple dataset integrations as if the data were local since you can connect Hub datasets to ML frameworks.

            Source https://stackoverflow.com/questions/71539946

            QUESTION

            split geometric progression efficiently in Python (Pythonic way)
            Asked 2022-Jan-22 at 10:09

            I am trying to achieve a calculation involving geometric progression (split). Is there any effective/efficient way of doing it. The data set has millions of rows. I need the column "Traded_quantity"

            Marker Action Traded_quantity 2019-11-05 09:25 0 0 09:35 2 BUY 3 09:45 0 0 09:55 1 BUY 4 10:05 0 0 10:15 3 BUY 56 10:24 6 BUY 8128

            turtle = 2 (User defined)

            base_quantity = 1 (User defined)

            ...

            ANSWER

            Answered 2022-Jan-22 at 10:09

            QUESTION

            is there any effective or efficient way to find net position of numbers from a data frame in python
            Asked 2022-Jan-21 at 01:04

            I have a multi index df, with column "Turtle"

            ...

            ANSWER

            Answered 2022-Jan-21 at 01:02

            There is a simple formula that maps Turtle to Net Pos. The calculation can be expressed as a sum of geometric series times base_quantity, yielding the function f below.

            Source https://stackoverflow.com/questions/70795029

            QUESTION

            Is there a way to return float or integer from a conditional True/False
            Asked 2022-Jan-16 at 14:28
            n_level = range(1, steps + 2)
            
            ...

            ANSWER

            Answered 2022-Jan-16 at 14:22

            this can be achieved easily using binary search, there are many ways to apply that(NumPy, bisect). I would recommend the library bisect.

            Added Buu for the Crest and See for the Trough, so that code and differentiate the segments. You can choose anything

            Source https://stackoverflow.com/questions/70601323

            QUESTION

            Generate the all possible unique peptides (permutants) in Python/Biopython
            Asked 2021-Dec-01 at 07:07

            I have a scenario in which I have a peptide frame having 9 AA. I want to generate all possible peptides by replacing a maximum of 3 AA on this frame ie by replacing only 1 or 2 or 3 AA.

            The frame is CKASGFTFS and I want to see all the mutants by replacing a maximum of 3 AA from the pool of 20 AA.

            we have a pool of 20 different AA (A,R,N,D,E,G,C,Q,H,I,L,K,M,F,P,S,T,W,Y,V).

            I am new to coding so Can someone help me out with how to code for this in Python or Biopython.

            output is supposed to be a list of unique sequences like below:

            CKASGFTFT, CTTSGFTFS, CTASGKTFS, CTASAFTWS, CTRSGFTFS, CKASEFTFS ....so on so forth getting 1, 2, or 3 substitutions from the pool of AA without changing the existing frame.

            ...

            ANSWER

            Answered 2021-Dec-01 at 07:07

            Ok, so after my code finished, I worked the calculations backwards,

            Case1, is 9c1 x 19 = 171

            Case2, is 9c2 x 19 x 19 = 12,996

            Case3, is 9c3 x 19 x 19 x 19 = 576,156

            That's a total of 589,323 combinations.

            Here is the code for all 3 cases, you can run them sequentially.

            You also requested to join the array into a single string, I have updated my code to reflect that.

            Source https://stackoverflow.com/questions/70178355

            QUESTION

            Getting Error 524 while running jupyter lab in google cloud platform
            Asked 2021-Oct-15 at 02:14

            I am not able to access jupyter lab created on google cloud

            I created one notebook using Google AI platform. I was able to start it and work but suddenly it stopped and I am not able to start it now. I tried building and restarting the jupyterlab, but of no use. I have checked my disk usages as well, which is only 12%.

            I tried the diagnostic tool, which gave the following result:

            but didn't fix it.

            Thanks in advance.

            ...

            ANSWER

            Answered 2021-Aug-20 at 14:00

            QUESTION

            TypeError: import_optional_dependency() got an unexpected keyword argument 'errors'
            Asked 2021-Oct-08 at 03:00

            I am trying to work with Featuretools to develop an automated feature engineering workflow for the customer churn dataset. The end outcome is a function that takes in a dataset and label times for customers and builds a feature matrix that can be used to train a machine learning model.

            As part of this exercise I am trying to execute the below code for plotting a histogram and got "TypeError: import_optional_dependency() got an unexpected keyword argument 'errors' ". Please help resolve this TypeError.

            ...

            ANSWER

            Answered 2021-Sep-14 at 20:32

            Try to upgrade pandas:

            Source https://stackoverflow.com/questions/69148495

            QUESTION

            HUGGINGFACE TypeError: '>' not supported between instances of 'NoneType' and 'int'
            Asked 2021-Sep-12 at 16:55

            I am working on Fine-Tuning Pretrained Model on custom (using HuggingFace) dataset I will copy all code correctly from the one youtube video everything is ok but in this cell/code:

            ...

            ANSWER

            Answered 2021-Sep-12 at 16:55

            Seems to be an issue with the new version of transformers.

            Installing version 4.6.0 worked for me.

            Source https://stackoverflow.com/questions/68875496

            QUESTION

            How to identify what features affect predictions result?
            Asked 2021-Aug-11 at 15:55

            I have a table with features that were used to build some model to predict whether user will buy a new insurance or not. In the same table I have probability of belonging to the class 1 (will buy) and class 0 (will not buy) predicted by this model. I don't know what kind of algorithm was used to build this model. I only have its predicted probabilities.

            Question: how to identify what features affect these prediction results? Do I need to build correlation matrix or conduct any tests?

            Table example:

            ...

            ANSWER

            Answered 2021-Aug-11 at 15:55

            You could build a model like this.

            x = features you have. y = true_lable

            from that you can extract features importance. also, if you want to go the extra mile,you can do Bootstrapping, so that the features importance would be more stable (statistical).

            Source https://stackoverflow.com/questions/68744565

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ctv-archaeology

            You can download it from GitHub.

            Support

            Allison, James R. (2019). Ceramic Production and Exchange among the Virgin Anasazi, 30 Years Later, KIVA, 85:4, 289-312, http://doi.org/10.1080/00231940.2019.1689660. d'Alpoim Guedes J, Jin G, Bocinsky RK (2015). The Impact of Climate on the Spread of Rice to North-Eastern China: A New Look at the Data from Shandong Province. PLOS ONE 10(6): e0130430. doi: http://dx.doi.org/10.1371/journal.pone.0130430. d’Alpoim Guedes, Jade and R. Kyle Bocinsky. (2018). Climate change stimulated agricultural innovation and exchange across Asia, 2018. Science Advances 4:eaar4491. http://doi.org/10.1126/sciadv.aar4491. d’Alpoim Guedes, J., Hanson, S., Higham, C., Higham, T., & Lertcharnrit, T. (2019). The wet and the dry, the wild and the cultivated: Subsistence and risk management in ancient Central Thailand. Archaeological and Anthropological Sciences, 11(12), 6473–6484. https://doi.org/10.1007/s12520-019-00794-8. Angourakis, Andreas, Verònica Martínez Ferreras, Alexis Torrano, and Josep M. Gurt Esparraguera. (2018). “Presenting Multivariate Statistical Protocols in R Using Roman Wine Amphorae Productions in Catalonia, Spain.” Journal of Archaeological Science 93 (May): 150–65. https://doi.org/10.1016/j.jas.2018.03.007. Describes the cerUB pkg. Arroyo-Kalin, Manuel and Riris Philip (2021). Did pre-Columbian populations of the Amazonian biome reach carrying capacity during the Late Holocene? Philosophical Transactions of the Royal Society B: Biological Sciences B37620190715 http://doi.org/10.1098/rstb.2019.0715. Barton, C. M., Tortosa, J. E. A., Garcia-Puchol, O., Riel-Salvatore, J. G., Gauthier, N., Conesa, M. V., & Bouchard, G. P. (2017). Risk and resilience in the late glacial: A case study from the western Mediterranean. Quaternary Science Reviews. https://doi.org/10.1016/j.quascirev.2017.09.015. Beck, J., & Smith, B. H. (2019). Don't throw the baby teeth out with the bathwater: Estimating subadult age using tooth wear in commingled archaeological assemblages. International Journal of Osteoarchaeology, 29(5), 831-842. https://doi.org/10.1002/oa.2802. Beheim, Bret A., and Adrian V. Bell. (2011). Inheritance, Ecology and the Evolution of the Canoes of East Oceania. Proceedings of the Royal Society B: Biological Sciences, February. https://doi.org/10.1098/rspb.2011.0060 https://github.com/babeheim/polynesian-canoe-analysis. Belmiro, J., Bicho, N., Haws, J., & Cascalheira, J. (2020). The Gravettian-Solutrean transition in westernmost Iberia: New data from the sites of Vale Boi and Lapa do Picareiro. Quaternary International https://doi.org/10.1016/j.quaint.2020.08.027 https://www.doi.org/10.17605/OSF.IO/456EG. Benjamin J, O’Leary M, McDonald J, Wiseman C, McCarthy J, Beckett E, et al. (2020). Aboriginal artefacts on the continental shelf reveal ancient drowned cultural landscapes in northwest Australia. PLoS ONE 15(7): e0233912. https://doi.org/10.1371/journal.pone.0233912 https://github.com/patrick-morrison/benjamin_et_al_2020_submerged_cb. Bevan A. and Crema E. R. (2021). Modifiable reporting unit problems and time series of long-term human activity. Philosophical Transactions of the Royal Society B: Biological Sciences B37620190726 http://doi.org/10.1098/rstb.2019.0726. Biagetti S, Alcaina-Mateos J, Ruiz-Giralt A, Lancelotti C, Groenewald P, Ibañez-Insa J, et al. (2021). Identifying anthropogenic features at Seoke (Botswana) using pXRF: Expanding the record of southern African Stone Walled Sites. PLoS ONE 16(5): e0250776. https://doi.org/10.1371/journal.pone.0250776. Biagetti, S., Alcaina-Mateos, J., Crema, E.R., (2016). A matter of ephemerality: the study of Kel Tadrart Tuareg (southwest Libya) campsites via quantitative spatial analysis. Ecology and Society 21. https://doi.org/10.5751/ES-08202-210142 GitHub repo. Bicho, N. and Cascalheira, J. (2018). The use of lithic assemblages for the definition of short-term occupations in hunter-gatherer prehistory. In Picin, A. and Cascalheira, J. (eds.) Short-term occupations in Paleolithic Archaeology. Interdisciplinary Contributions to Archaeology. Springer. https://doi.org/10.17605/OSF.IO/3WGSA. Bird, MI, SA Condie, S O’Connor, D O’Grady, C Reepmeyer, S Ulm, M Zega, F Saltré, CJA Bradshaw. (2019). Early human settlement of Sahul was not an accident. Scientific Reports doi:10.1038/s41598-019-42946-9 https://github.com/cjabradshaw/SahulHuman. Birch, T. and M. Martinón-Torres (2019). Shape as a measure of weapon standardisation: From metric to geometric morphometric analysis of the Iron Age ‘Havor’ lance from Southern Scandinavia. Journal of Archaeological Science 101: 34-51 https://doi.org/10.1016/j.jas.2018.11.002. Blinkhorn, J., Groucutt, H.S., Scerri, E.M.L. et al. (2021). Directional changes in Levallois core technologies between Eastern Africa, Arabia, and the Levant during MIS 5. Scientific Reports 11, 11465 (2021). https://doi.org/10.1038/s41598-021-90744-z. Borck, L., Athenstädt, J.C., Cheromiah, L.A., Aragon, L.D., Brandes, U. and Hofman, C.L., (2020). Plainware and Polychrome: Quantifying Perceptual Differences in Ceramic Classification Between Diverse Groups to Further a Strong Objectivity. Journal of Computer Applications in Archaeology, 3(1), pp.135–150. DOI: http://doi.org/10.5334/jcaa.37. Bradshaw, C. J. A., Norman, K., Ulm, S., Williams, A. N., Clarkson, C., Chadœuf, J., Lin, S. C., Jacobs, Z., Roberts, R. G., Bird, M. I., Weyrich, L. S., Haberle, S. G., O’Connor, S., Llamas, B., Cohen, T. J., Friedrich, T., Veth, P., Leavesley, M., & Saltré, F. (2021). Stochastic models support rapid peopling of Late Pleistocene Sahul. Nature Communications, 12(1), 2440. https://doi.org/10.1038/s41467-021-21551-3. Bradshaw, CJA, S Ulm, AN Williams, MI Bird, RG Roberts, Z Jacobs, F Laviano, LS Weyrich, T Friedrich, K Norman, F Saltré. (2019). Minimum founding populations for the first peopling of Sahul. Nature Ecology and Evolution doi:10.1038/s41559-019-0902-6 https://github.com/cjabradshaw/SahulHuman. Breslawski RP, Etter BL, Jorgeson I, Boulanger MT (2018). The Atlatl to Bow Transition: What Can We Learn from Modern Recreational Competitions? Lithic Technology http://doi.org/10.1080/01977261.2017.1416918 https://github.com/taphocoenose/The-atlatl-to-bow-transition. Breslawski RP, Playford T (2017). Probabilistic Models of Seasonal Bison Exploitation Based on Fetal Prey Osteometry and Reproductive Phenology. Archaeological and Anthropological Sciences http://doi.org/10.1007/s12520-017-0500-y https://github.com/taphocoenose/Probabilistic-Models-of-Seasonal-Bison-Exploitation. Brown, A., & Crema, E. (2019). Maori 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 https://doi-org/10.1080/15564894.2019.1605429 https://zenodo.org/record/2250314. Broughton, J. M., & Weitzel, E. M. (2018). Population reconstructions for humans and megafauna suggest mixed causes for North American Pleistocene extinctions. Nature communications, 9(1), 5441. https://doi.org/10.1038/s41467-018-07897-1. Brunner M, von Felten J, Hinz M, Hafner A (2020). Central European Early Bronze Age chronology revisited: A Bayesian examination of large-scale radiocarbon dating. PLOS ONE 15(12): e0243719. https://doi.org/10.1371/journal.pone.0243719. Bustos-Pérez, G., Baena, J., (2021). Predicting Flake Mass: A View from Machine Learning. Lithic Technology 14. https://doi.org/10.1080/01977261.2021.1881267. Calandra, I., Schunk, L., Bob, K., Gneisinger, W., Pedergnana, A., Paixao, E., ... & Marreiros, J. (2019). The effect of numerical aperture on quantitative use-wear studies and its implication on reproducibility. Scientific reports, 9(1), 1-10. https://doi.org/10.1038/s41598-019-42713-w. Calandra I., Schunk, L., Rodriguez, A., Gneisinger, W., Pedergnana, A., Paixao, E., Marreiros, J. (2019). Back to the edge: relative coordinate system for use-wear analysis. Archaeological and Anthropological Sciences. https://doi.org/10.1007/s12520-019-00801-y. Cardillo, M., & Charlin, J. (2018). Phylogenetic analysis of stemmed points from Patagonia: Shape change and morphospace evolution. Journal of Lithic Studies, 5(2). https://doi.org/10.2218/jls.2797 data & code: https://zenodo.org/record/4670467. Cardillo, Marcelo, Scartascini Federico Luis and Zangrando Atilio Francisco (2015). Combining morphological and metric variations in the study of design and functionality in stone weights. A comparative approach from continental and insular Patagonia, Argentina. Journal of Archaeological Science: Reports 4:578-587. https://doi.org/10.1016/j.jasrep.2015.10.030. Carleton, W. C. (2020). Evaluating Bayesian Radiocarbon‐dated Event Count (REC) models for the study of long‐term human and environmental processes. Journal of Quaternary Science https://doi.org/10.1002/jqs.3256. Carleton W. C., Groucutt HS. (2020). Sum things are not what they seem: Problems with point-wise interpretations and quantitative analyses of proxies based on aggregated radiocarbon dates. The Holocene https://doi.org/10.1177/0959683620981700. Carleton, W. C. , J. Conolly, and G. Iannone (2012). A locally-adaptive model of archaeological potential (LAMAP) Journal of Archaeological Science 39(11), 3371-3385, 2012 https://doi.org/10.1016/j.jas.2012.05.022, https://github.com/wccarleton/lamap. Carleton, W., McCauley, B., Costopoulos, A., & Collard, M. (2018). An evolutionary agent-based model contradicts Dunnell’s version of the waste hypothesis for cultural elaboration. https://doi.org/10.31235/osf.io/2h36u https://github.com/wccarleton/abm_waste. Carney, M., Tushingham, S., McLaughlin, T., & d’Alpoim Guedes, J. (2021). Harvesting strategies as evidence for 4000 years of camas (Camassia quamash) management in the North American Columbia Plateau. Royal Society Open Science 8(4), 202213. https://doi.org/10.1098/rsos.202213 https://github.com/mollyrcarney/POV_camas_management. Carney, M. and Davies, B., (2020). Agent-Based Modeling, Scientific Reproducibility, and Taphonomy: A Successful Model Implementation Case Study. Journal of Computer Applications in Archaeology 3(1), pp.182–196. DOI: http://doi.org/10.5334/jcaa.52 https://zenodo.org/record/3761900. Carrero-Pazos, M., Bevan, A., & Lake, M. W. (2019). The spatial structure of Galician megalithic landscapes (NW iberia): A case study from the Monte Penide region. Journal of Archaeological Science, 108, 104968. https://doi.org/10.1016/j.jas.2019.05.004. Cascalheira, J., Gonçalves, C. and Maio D. (2020). The spatial patterning of Middle Paleolithic human settlement in westernmost Iberia. Journal of Quaternary Science https://doi.org/10.1002/jqs.3286. Cascalheira, João. (2019). Territoriality and the organization of technology during the Last Glacial Maximum in southwestern Europe. PloS one, 14(12). https://doi.org/10.1371/journal.pone.0225828. Cheung, C., & Szpak, P. (2020). Interpreting Past Human Diets Using Stable Isotope Mixing Models. Journal of Archaeological Method and Theory. https://doi.org/10.1007/s10816-020-09492-5. Cheung, C., & Szpak, P. (2021). Interpreting Past Human Diets Using Stable Isotope Mixing Models—Best Practices for Data Acquisition. Journal of Archaeological Method and Theory. https://doi.org/10.1007/s10816-021-09514-w. Clarkson, C., Mike Smith, Ben Marwick, Richard Fullagar, Lynley A. Wallis, Patrick Faulkner, Tiina Manne, Elspeth Hayes, Richard G. Roberts, Zenobia Jacobs, Xavier Carah, Kelsey M. Lowe, Jacqueline Matthews, S. Anna Florin (2015). The archaeology, chronology and stratigraphy of Madjedbebe (Malakunanja II): A site in northern Australia with early occupation. Journal of Human Evolution 8, 46–64 http://dx.doi.org/10.1016/j.jhevol.2015.03.014. Cochrane, E. E., Tautunu, A. A. M. M., & DiNapoli, R. J. (2019). Hypotheses to explain the few early coastal archaeological deposits in Sāmoa: Preliminary evaluations. Journal of Archaeological Science: Reports, 26, 101931. https://doi.org/10.17608/k6.auckland.7647218. Coco, E., & Iovita, R. (2020). Time-dependent taphonomic site loss leads to spatial averaging: implications for archaeological cultures. Humanities and Social Sciences Communications, 7(1), 1-9. https://www.nature.com/articles/s41599-020-00635-3. Coco, E., Holdaway, S. & Iovita, R. (2020). The Effects of Secondary Recycling on the Technological Character of Lithic Assemblages. Journal of Paleolithic Archaeology https://doi.org/10.1007/s41982-020-00055-4. Conrad, C., Higham, C., Eda, M. and Marwick, B. (2016). Paleoecology and Forager Subsistence Strategies During the Pleistocene-Holocene Transition: A Reinvestigation of the Zooarchaeological Assemblage from Spirit Cave, Mae Hong Son Province, Thailand. Asian Perspectives 55(1). https://github.com/cylerc/AP_SC. Contreras, Daniel A., Joël Guiot, Romain Suarez, and Alan Kirman. (2018). "Reaching The Human Scale: A Spatial and Temporal Downscaling Approach To The Archaeological Implications Of Paleoclimate Data." Journal of Archaeological Science 93:54-67.doi:10.1016/j.jas.2018.02.013. Contreras, Daniel A. and John Meadows. (2014). “Summed radiocarbon calibrations as a population proxy: a critical evaluation using a realistic simulation approach.” Journal of Archaeological Science 52:591-608. doi:10.1016/j.jas.2014.05.030. Coto-Sarmiento, M. & Rubio-Campillo, X. (2021): The tracing of trade: Exploring the patterns of olive oil production and distribution from Roman Baetica. Archaelogical and Anthropological Sciences,13,70. https://doi.org/10.1007/s12520-021-01305-4. Coto-Sarmiento, M., Rubio-Campillo, X., Remesal, J., (2018). Identifying social learning between Roman amphorae workshops through morphometric similarity. Journal of Archaeological Science 96, 117–123. https://doi.org/10.1016/j.jas.2018.06.002, https://github.com/Mcotsar/LearningBaetica. Crema ER, Shoda S (2021). A Bayesian approach for fitting and comparing demographic growth models of radiocarbon dates: A case study on the Jomon-Yayoi transition in Kyushu (Japan). PLOS ONE 16(5): e0251695. https://doi.org/10.1371/journal.pone.0251695. Crema, E. R., and A. Bevan (2020). INFERENCE FROM LARGE SETS OF RADIOCARBON DATES: SOFTWARE AND METHODS. Radiocarbon :1–17. https://doi.org/10.1017/RDC.2020.95. Crema, E.R., Kandler, A., Shennan, S., (2016). Revealing patterns of cultural transmission from frequency data: equilibrium and non-equilibrium assumptions, Scientific Reports 6, 39122. Crema, E. R., J. Habu, K. Kobayashi and M. Madella (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., GitHub repo, Zenodo repo. Crema, E.R., K. Edinborough, T. Kerig, S.J. Shennan (2014). An Approximate Bayesian Computation approach for inferring patterns of cultural evolutionary change, Journal of Archaeological Science, Volume 50 Pages 160-170 http://dx.doi.org/10.1016/j.jas.2014.07.014. 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. https://doi.org/10.1016/j.jas.2020.105136 GitHub repo, Zenodo repo. Danielisová, A., Pajdla, P., Bursák, D., Strnad, L., Trubač, J. and Kmošek, J., (2021). Claiming the land or protecting the goods? The Duchcov hoard in Bohemia as a proxy for ‘Celtic migrations’ in Europe in the 4th century BCE. Journal of Archaeological Science 127, 105314. https://doi.org/10.1016/j.jas.2020.105314; GitHub repo. Davis, D.S.; DiNapoli, R.J.; Douglass, K. (2020). Integrating Point Process Models, Evolutionary Ecology and Traditional Knowledge Improves Landscape Archaeology—A Case from Southwest Madagascar. Geosciences , 10, 287. DiNapoli, R. J., Rieth, T. M., Lipo, C. P., & Hunt, T. L. (2020). A model-based approach to the tempo of “collapse”: The case of Rapa Nui (Easter Island). Journal of Archaeological Science, 105094. DiNapoli, R. J., Lipo, C. P., Brosnan, T., Hunt, T. L., Hixon, S., Morrison, A. E., & Becker, M. (2019). Rapa Nui (Easter Island) monument (ahu) locations explained by freshwater sources. PLOS ONE, 14(1), e0210409. https://doi.org/10.1371/journal.pone.0210409. Dombrosky, J. (2020). A ~1000-year 13C Suess correction model for the study of past ecosystems. The Holocene, 30(3), 474–478. https://doi.org/10.1177/0959683619887416. Drake BL, Wills WH, Hamilton MI, Dorshow W (2014). Strontium Isotopes and the Reconstruction of the Chaco Regional System: Evaluating Uncertainty with Bayesian Mixing Models. PLoS ONE 9(5): e95580. doi:10.1371/journal.pone.0095580. Drake, Brandon L., David T. Hanson, James L. Boone (2012). The use of radiocarbon-derived Δ13C as a paleoclimate indicator: applications in the Lower Alentejo of Portugal, Journal of Archaeological Science, Volume 39, Issue 9, September 2012, Pages 2888-2896, http://dx.doi.org/10.1016/j.jas.2012.04.027. Drake, Brandon L., (2012). The influence of climatic change on the Late Bronze Age Collapse and the Greek Dark Ages, Journal of Archaeological Science, Volume 39, Issue 6, June 2012, Pages 1862-1870 http://dx.doi.org/10.1016/j.jas.2012.01.029. Drake, Brandon L., WH Wills, and Erik B Erhardt (2012). The 5.1 ka aridization event, expansion of piñon-juniper woodlands, and the introduction of maize (Zea mays) in the American Southwest The Holocene December 2012 22: 1353-1360, first published on July 9, 2012 doi:10.1177/0959683612449758. Dye, Thomas S. (2011). “A Model-based Age Estimate for Polynesian Colonization of Hawai‘i”. Archaeology in Oceania 46, pp. 130–138 https://github.com/tsdye/hawaii-colonization. Dye, T. S. (2016). "Long-term rhythms in the development of Hawaiian social stratification." Journal of Archaeological Science http://www.sciencedirect.com/science/article/pii/S030544031630053X 71: 1-9. Edinborough, K., Porčić, 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, 114(47), 12436-12441. https://doi.org/10.1073/pnas.1713012114. Ellis, E.C., N. Gauthier, K. Klein Goldewijk, R. Bliege Bird, N. Boivin, S. Diaz, D. Fuller, J. Gill, J. Kaplan, N. Kingston, H. Locke, C. McMichael, D. Ranco, T. Rick, M.R. Shaw, L. Stephens, J.C. Svenning, J.E.M. Watson, (2021). People have shaped most of terrestrial nature for at least 12,000 years. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2023483118. Farahani, A. (2018). A 2500-year historical ecology of agricultural production under empire in Dhiban, Jordan. Journal of Anthropological Archaeology, 52, 137-155. http://dx.doi.org/10.17632/dygn8vp6pz.1. Florin, S.A., Roberts, P., Marwick, B. et al. (2021). Pandanus nutshell generates a palaeoprecipitation record for human occupation at Madjedbebe, northern Australia. Nature Ecology and Evolution https://doi.org/10.1038/s41559-020-01379-8. Freeman, J., Robinson, E., Beckman, N. G., Bird, D., Baggio, J. A., & Anderies, J. M. (2020). The global ecology of human population density and interpreting changes in paleo-population density. Journal of Archaeological Science, 120, 105168. https://github.com/people3k/JAS2020Ethnographic-Population-Density. Gantley, M., Whitehouse, H., & Bogaard, A. (2018). Material Correlates Analysis (MCA): An Innovative way of Examining Questions in Archaeology Using Ethnographic Data. Advances in Archaeological Practice, 6(4), 328-341. http://doi.org/10.1017/aap.2018.9. Garvey, Raven. (2018). Current and potential roles of archaeology in the development of cultural evolutionary theory. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1743), 20170057. https://doi.org/10.1098/rstb.2017.0057 https://dx.doi.org/10.6084/m9.figshare.c.3965853. Gauthier, Nicolas (2021). Hydroclimate variability influenced social interaction in the prehistoric american southwest. Frontiers in Earth Science 8:713. DOI:10.3389/feart.2020.620856. Giusti, D., Konidaris, G. E., Tourloukis, V., Marini, M., Maron, M., Zerboni, A., … Harvati, K. (2019). Recursive anisotropy: a spatial taphonomic study of the Early Pleistocene vertebrate assemblage of Tsiotra Vryssi, Mygdonia Basin, Greece. Boreas, 0(0). https://doi.org/10.1111/bor.12368. Giusti, D., Tourloukis, V., Konidaris, G., Thompson, N., Karkanas, P., Panagopoulou, E., & Harvati, K. (2018). Beyond maps: patterns of formation processes at the Middle Pleistocene open-air site of Marathousa 1, Megalopolis Basin, Greece. Quaternary International. https://doi.org/10.1016/j.quaint.2018.01.041. Giusti, D. and M. Arzarello, (2016). The need for a taphonomic perspective in spatial analysis: Formation processes at the Early Pleistocene site of Pirro Nord (P13), Apricena, Italy, Journal of Archaeological Science: Reports 8, 235--249 code and data: https://github.com/dncgst/pirronord_jas-reports. González-Molina I, Jiménez-García B, Maíllo-Fernández JM, Baquedano E, Domínguez-Rodrigo M (2020). Distinguishing Discoid and Centripetal Levallois methods through machine learning. PLOS ONE 15(12): e0244288. https://doi.org/10.1371/journal.pone.0244288 https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/T8SEC2. Graham, S., Gupta, N., Smith, J., Angourakis, A., Reinhard, A., Ellenberger, K., Batist, Z., Rivard, J., Marwick, B., Carter, M., Compton, B., Blades, R., Wood, C., Nobles, G. (2019). The Open Digital Archaeology Textbook https://o-date.github.io/ Code notebooks and repositories, and text source at https://github.com/o-date. Gravel-Miguel, C., Murray, J. K., Schoville, B. J., Wren, C. D., & Marean, C. W. (2021). Exploring variability in lithic armature discard in the archaeological record. Journal of Human Evolution, 155, 102981. https://doi.org/10.1016/j.jhevol.2021.102981. Hageneuer, S. & Schmidt, S. C. (2019). Monumentality by numbers. In: Buccellati, F., Hageneuer, S., van der Heyden, S. & Levenson, F. (Eds.), Size Matters - Understanding Monumentality Across Ancient Civilizations. Bielefeld: transcript Verlag: 291-308. https://doi.org/10.14361/9783839445389-017. Hegmon M, Peeples MA, on behalf of the LTVTP-NABO collaboration (2018). The human experience of social transformation: Insights from comparative archaeology. PLOS ONE 13(11): e0208060. https://doi.org/10.1371/journal.pone.0208060. Hinz, M., (2020). Sensitivity of Radiocarbon Sum Calibration. Journal of Computer Applications in Archaeology, 3(1), pp.238–252. DOI: http://doi.org/10.5334/jcaa.53. Hoggard, C. S., & Stade, C. M. (2019). The efficiency of Middle Palaeolithic technological blade strategies: an experimental investigation. Lithics–The Journal of the Lithic Studies Society, (39), 52. http://journal.lithics.org/index.php/lithics/article/view/737 https://osf.io/5v8xh/. Hoggard, C. S., McNabb, J., & Cole, J. N. (2019). The Application of Elliptic Fourier Analysis in Understanding Biface Shape and Symmetry Through the British Acheulean. Journal of Paleolithic Archaeology. https://doi.org/10.1007/s41982-019-00024-6 https://osf.io/td92j/. Horta, P., Cascalheira, J., & Bicho, N. (2019). The Role of Lithic Bipolar Technology in Western Iberia’s Upper Paleolithic: the Case of Vale Boi (Southern Portugal). Journal of Paleolithic Archaeology https://doi.org/10.1007/s41982-019-0022-5 https://osf.io/wpxgh/. Hu, Y., Marwick, B., Zhang, J.-F., Rui, X., Hou, Y.-M., Yue, J.-P., ... Li, B. (2018). Late Middle Pleistocene Levallois stone-tool technology in southwest China. Nature https://doi.org/10.1038/s41586-018-0710-1 https://doi.org/10.17605/OSF.IO/ERNTJ. Huffer, D. and Graham, S. (2017). The Insta-Dead: the rhetoric of the human remains trade on Instagram, Internet Archaeology 45. https://doi.org/10.11141/ia.45.5, code & data: https://zenodo.org/record/546132. Huffer, D. and Graham, S. (2018). Fleshing Out the Bones: Studying the Human Remains Trade with Tensorflow and Inception, Journal of Computer Applications in Archaeology 1(1), pp.55-063. https://doi.org/10.5334/jcaa.8, code & data: https:doi.org/10.17605/OSF.IO/9CFJA. Ivanovaitė, L., Serwatka, K., Hoggard, C., Sauer, F., & Riede, F. (2020). All these Fantastic Cultures? Research History and Regionalization in the Late Palaeolithic Tanged Point Cultures of Eastern Europe. European Journal of Archeology, 23 (2), 162-185. doi:10.1017/eaa.2019.59 https://osf.io/agrwb/ https://github.com/CSHoggard/-Eastern-Europe-Tanged-Points. Kandler, A., Crema, E.R., (2019). Analysing Cultural Frequency Data: Neutral Theory and Beyond, in: Prentiss, A.M. (Ed.), Handbook of Evolutionary Research in Archaeology. Springer International Publishing, Cham, pp. 83–108. https://doi.org/10.1007/978-3-030-11117-5_5 GitHub repo. King, C. L., Millard, A. R., Gröcke, D. R., Standen, V. G., Arriaza, B. T., & Halcrow, S. E. (2018). Marine resource reliance in the human populations of the Atacama Desert, northern Chile–A view from prehistory. Quaternary Science Reviews, 182, 163-174. https://doi.org/10.1016/j.quascirev.2017.12.009. Kintigh, K.W. and Peeples, M.A., (2020). Estimating Population Growth Rates and Instantaneous Population from Periodized Settlement Data. Journal of Computer Applications in Archaeology, 3(1), pp.197–209. DOI: http://doi.org/10.5334/jcaa.58 https://github.com/kintigh/RoomAccum. Lancelotti, C. (2018). Not all that burns is wood. A social perspective on fuel exploitation and use during the Indus urban period (2600-1900 BC). PLoS One 13(3): e0192364. Lancelotti C, Ruiz-Pérez J, García-Granero JJ. 2017. Investigating fuel and fireplaces with a combination of phytoliths and multi-element analysis: an ethnographic experiment. Vegetation History and Archaeobotany 26:75-83. Lancelotti C, Martinez-Sánchez R, Vera-Rodríguez JC, Pérez-Jordà G, Peña-Chocarro L, Biagetti S, Madella M. (2021). Phytolith analyses from Khil and Kaf Taht el-Ghar (Western Maghreb): Plant use trajectories in a long-term perspective. Journal of Archaeological Science: Reports, 37, 102921. Lancelotti, C., Balbo, A.L. Madella, M., Iriarte, E., Rojo-Guerra, M., Ignacio Royo, J., Tejedor, C., Garrido, R., García, I., Arcusa, H., Pérez Jordà, G., Peña-Chocarro, L. (2014). The missing crop: investigating the use of grasses at Els Trocs, a Neolithic cave site in the Pyrenees (1564 m asl). Journal of Archaeological Science 42: 456-466. Lawrence D, Palmisano A, de Gruchy MW (2021). Collapse and continuity: A multi-proxy reconstruction of settlement organization and population trajectories in the Northern Fertile Crescent during the 4.2kya Rapid Climate Change event. PLoS ONE 16(1): e0244871. doi:10.1371/journal.pone.0244871. Leplongeon, Alice, Clément Ménard, Vincent Bonhomme, and Eugenio Bortolini. (2020). “Backed Pieces and Their Variability in the Later Stone Age of the Horn of Africa.” African Archaeological Review. https://doi.org/10.1007/s10437-020-09401-x https://doi.org/10.6084/m9.figshare.7825607. Lewis, J. (2021). Probabilistic Modelling for Incorporating Uncertainty in Least Cost Path Results: A Postdictive Roman Road Case Study. Journal of Archaeological Method and Theory https://doi.org/10.1007/s10816-021-09522-w. Lewis, J. (2020). Visibility of the Gask Ridge road from simulated Watchtowers: A Monte Carlo testing approach. Journal of Archaeological Science: Reports, 33, 102482. https://doi.org/10.1016/j.jasrep.2020.102482. Lightfoot E and O'Connell TC (2016). “On The Use of Biomineral Oxygen Isotope Data to Identify Human Migrants in the Archaeological Record: Intra-Sample Variation, Statistical Methods and Geographical Considerations.” PLoS ONE 11(4). http://doi:10.1371/journal.pone.0153850, code and data: https://www.repository.cam.ac.uk/handle/1810/252773. Lipo, C. P., Hunt, T. L., Horneman, R., & Bonhomme, V. (2016). Weapons of war? Rapa Nui mata’a morphometric analyses. Antiquity, 90(349), 172–187. doi:10.15184/aqy.2015.189 https://github.com/clipo/mataaMorphometrics. Lowe, K., Wallis, L., Pardoe, C., Marwick, B., Clarkson, C., Manne, T., Smith, M. and R. Fullagar (2014). Ground-penetrating radar and burial practices in western Arnhem Land, Australia. Archaeology in Oceania 49(3): 148–157 http://onlinelibrary.wiley.com/doi/10.1002/arco.5039/abstract. Mackay, Alex, Sam C. Lin, Lachlan S. Kenna, and Alex F. Blackwood. (2018). Variance in the Response of Silcrete to Rapid Heating Complicates Assumptions about Past Heat Treatment Methods.” Archaeological and Anthropological Sciences, June 20, 2018, 1–12. https://doi.org/10.1007/s12520-018-0663-1. Mackay A, Sumner A, Jacobs Z, Marwick B, Bluff K and Shaw M (2014). Putslaagte 1 (PL1), the Doring River, and the later Middle Stone Age in southern Africa's Winter Rainfall Zone. Quaternary International http://dx.doi.org/10.1016/j.quaint.2014.05.007. Marwick, B., Wang, L.-Y., Robinson, R., & Loiselle, H. (2019). How to Use Replication Assignments for Teaching Integrity in Empirical Archaeology. Advances in Archaeological Practice, 1–9. https://doi.org/10.1017/aap.2019.38. Marwick, B., Hiscock, P., Sullivan, M., & Hughes, P. (2017). Landform boundary effects on Holocene forager landscape use in arid South Australia. Journal of Archaeological Science: Reports http://doi.org/10.1016/j.jasrep.2017.07.004. Marwick, Ben, Elspeth Hayes, Chris Clarkson and Richard Fullagar (2017). Movement of lithics by trampling: An experiment in the Madjedbebe sediments, northern Australia. Journal of Archaeological Science 79:73-85. http://dx.doi.org/10.1016/j.jas.2017.01.008, https://github.com/benmarwick/mjbtramp, http://dx.doi.org/10.17605/OSF.IO/32A87. Marwick, B., Van Vlack, H.G., Conrad, C., Shoocongdej, R., Thongcharoenchaikit, C., Kwak, S. (2016). Adaptations to sea level change and transitions to agriculture at Khao Toh Chong rockshelter, Peninsular Thailand, Journal of Archaeological Science http://dx.doi.org/10.1016/j.jas.2016.10.010, https://github.com/benmarwick/ktc11, https://osf.io/axxf8/. Marwick, B, C. Clarkson, S. O'Connor & S. Collins (2016). "Pleistocene-aged stone artefacts from Jerimalai, East Timor: Long term conservatism in early modern human technology in island Southeast Asia" Journal of Human Evolution DOI: http://doi.org/10.1016/j.jhevol.2016.09.004, https://github.com/benmarwick/Pleistocene-aged-stone-artefacts-from-Jerimalai--East-Timor, https://osf.io/63zey. Marwick, B., & Birch, S. (2018). A Standard for the Scholarly Citation of Archaeological Data as an Incentive to Data Sharing. Advances in Archaeological Practice 1-19 https://doi.org/10.1017/aap.2018.3. Marwick, B. (2017). Computational reproducibility in archaeological research: Basic principles and a case study of their implementation. Journal of Archaeological Method and Theory 1-27. doi: 10.1007/s10816-015-9272-9, text source repo. Marwick, B., (2013). Multiple Optima in Hoabinhian flaked stone artefact palaeoeconomics and palaeoecology at two archaeological sites in Northwest Thailand. Journal of Anthropological Archaeology 32, 553-564. http://dx.doi.org/10.1016/j.jaa.2013.08.004. Marwick, B. (2013). Discovery of Emergent Issues and Controversies in Anthropology Using Text Mining, Topic Modeling, and Social Network Analysis of Microblog Content. In Yanchang Zhao, Yonghua Cen (eds) Data Mining Applications with R Elsevier. p. 63-93 https://github.com/benmarwick/AAA2011-Tweets. McLaughlin, T. Rowan, Gómez-Puche Magdalena, Cascalheira João, Bicho Nuno and Fernández-López de Pablo Javier (2021). Late Glacial and Early Holocene human demographic responses to climatic and environmental change in Atlantic Iberia Philosophical Transactions of the Royal Society B: Biological Sciences B37620190724 http://doi.org/10.1098/rstb.2019.0724. McLaughlin, T.R. (2018). On Applications of Space–Time Modelling with Open-Source 14C Age Calibration. Journal of Archaeological Method and Theory https://doi.org/10.1007/s10816-018-9381-3. McPherron, S. P., Abdolahzadeh, A., Archer, W., Chan, A., Djakovic, I., Dogandžić, T., ... & Reeves, J. (2020). Introducing platform surface interior angle (PSIA) and its role in flake formation, size and shape. Plos one, 15(11), e0241714. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0241714. McPherron SP (2018). Additional statistical and graphical methods for analyzing site formation processes using artifact orientations. PLOS ONE 13(1): e0190195. https://doi.org/10.1371/journal.pone.0190195. Nakoinz, O., D. Knitter (2016). Modelling Human Behaviour in Landscapes. Basic Concepts and Modelling Elements. Quantitative Archaeology and Archaeological Modelling 1. Springer, New York. https://github.com/dakni/mhbil, https://github.com/ISAAKiel. Negre, J., Muñoz, F., & Barceló, J. A. (2017). A Cost-Based Ripley’s K Function to Assess Social Strategies in Settlement Patterning. Journal of Archaeological Method and Theory, 1-18. https://doi.org/10.1007/s10816-017-9358-7. Negre, J., Muñoz, F., Lancelotti, C., (2016). Geostatistical modelling of chemical residues on archaeological floors in the presence of barriers, Journal of Archaeological Science 70, 91-101. https://github.com/famuvie/ArchaeologicalFloors. Nishiaki, Y., Tamura, K., Suzuki, M., Nakamura, M., Kato, S., Nakagawa, K., Takakura, J., Yamaoka, T., Noguchi, A., Kondo, Y., & Kobayashi, Y. (2021). Spatiotemporal variability in lithic technology of Middle-to-Upper Paleolithic Asia: A new dataset and its statistical analyses. Quaternary International. https://doi.org/10.1016/j.quaint.2021.03.022. Orton, D., Gaastra, J., & Vander Linden, M. (2016). Between the Danube and the Deep Blue Sea: Zooarchaeological Meta-Analysis Reveals Variability in the Spread and Development of Neolithic Farming across the Western Balkans. Open Quaternary, 2, 6. DOI: http://doi.org/10.5334/oq.28 data & code: http://eprints.whiterose.ac.uk/104121/. Palmisano, A. (2017). Confronting scales of settlement hierarchy in state-level societies: Upper Mesopotamia and Central Anatolia in the Middle Bronze Age. Journal of Archaeological Science: Reports, 14, 220-240. https://doi.org/10.1016/j.jasrep.2017.05.029. Palmisano, A., Bevan, A., & Shennan, S. (2017). Comparing archaeological proxies for long-term population patterns: An example from central Italy. Journal of Archaeological Science, 87, 59-72. https://doi.org/10.1016/j.jas.2017.10.001. Palmisano, A., Lawrence, D., de Gruchy, M. W., Bevan, A., & Shennan, S. (2021). Holocene regional population dynamics and climatic trends in the Near East: A first comparison using archaeo-demographic proxies. Quaternary Science Reviews, 252, 106739. https://doi.org/10.1016/j.quascirev.2020.106739. Pargeter, Justin, Paloma de la Peña, and Metin I. Eren. (2018). “Assessing Raw Material’s Role in Bipolar and Freehand Miniaturized Flake Shape, Technological Structure, and Fragmentation Rates.” Archaeological and Anthropological Sciences, May, 1–15. https://doi.org/10.1007/s12520-018-0647-1 data & code: https://osf.io/38tsn/. Pargeter, J., Khreisheh, N., & Stout, D. (2019). Understanding stone tool-making skill acquisition: Experimental methods and evolutionary implications. Journal of Human Evolution, 133, 146-166. https://osf.io/h5c8t/. Pederzani, S., Aldeias, V., Dibble, H.L. et al. (2021). Reconstructing Late Pleistocene paleoclimate at the scale of human behavior: an example from the Neandertal occupation of La Ferrassie (France). Scientific Reports 11, 1419 https://doi.org/10.1038/s41598-020-80777-1. Perri et al (2019). Dietary variation among indigenous Nicaraguan horticulturalists and their dogs: An ethnoarchaeological application of the Canine Surrogacy Approach Journal of Anthropological Archaeology Volume 55,https://doi.org/10.1016/j.jaa.2019.05.002 https://osf.io/dbxe9/. Phillips, N., Pargeter, J., Low, M. et al. (2018). Open-air preservation of miniaturised lithics: experimental research in the Cederberg Mountains, southern Africa. Archaeological and Anthropological Sciences (2018). https://doi.org/10.1007/s12520-018-0617-7. Pollard, D. (2021). All equal in the presence of death? A quantitative analysis of the Early Iron Age cemeteries of Knossos, Crete, Journal of Anthropological Archaeology, Volume 63, 2021, 101320,. Porčić, Marko, Blagojević Tamara, Pendić Jugoslav and Stefanović Sofija (2021). The Neolithic Demographic Transition in the Central Balkans: population dynamics reconstruction based on new radiocarbon evidence Philosophical Transactions of the Royal Society B: Biological Sciences B37620190712 http://doi.org/10.1098/rstb.2019.0712. Porčić, M., Blagojević, T., Pendić, J., & Stefanović, S. (2020). The timing and tempo of the Neolithic expansion across the Central Balkans in the light of the new radiocarbon evidence. Journal of Archaeological Science: Reports, 33, 102528. https://doi.org/10.1016/j.jasrep.2020.102528. Porčić, M., Nikolić, M., (2016). The Approximate Bayesian Computation approach to reconstructing population dynamics and size from settlement data: demography of the Mesolithic-Neolithic transition at Lepenski Vir. AArchaeological and Anthropological Sciences 8, 169–186. https://doi.org/10.1007/s12520-014-0223-2. Potì, A., Kehl, M., Broich, M., Carrión Marco, Y., Hutterer, R., Jentke, T., Linstädter, J., López-Sáez, J.A., Mikdad, A., Morales, J., Pérez-Díaz, S., Portillo, M., Schmid, C., Vidal-Matutano, P., Weniger, G.-C., (2019). Human occupation and environmental change in the western Maghreb during the Last Glacial Maximum (LGM) and the Late Glacial. New evidence from the Iberomaurusian site Ifri El Baroud (northeast Morocco). Quaternary Science Reviews 220, 87–110. https://doi.org/10.1016/j.quascirev.2019.07.013. Prates, L., Perez, S.I. (2021). Late Pleistocene South American megafaunal extinctions associated with rise of Fishtail points and human population. Nature Communications 12, 2175 (2021). https://doi.org/10.1038/s41467-021-22506-4. Price, M. D., Wolfhagen, J., and Otárola-Castillo, E. (2016). Confidence Intervals in the Analysis of Mortality and Survivorship Curves in Zooarchaeology. American Antiquity 81(1): 157-73. https://doi.org/10.7183/0002-7316.81.1.157. Reese, K. M. (2021). Deep learning artificial neural networks for non-destructive archaeological site dating, Journal of Archaeological Science, Volume 132, 2021,105413,. Reese, K. M. (2020). Check dam agriculture on the mesa verde cuesta. Journal of Archaeological Science: Reports, 31, 102372. Reese, K., Glowacki, D., & Kohler, T. (2019). Dynamic Communities on the Mesa Verde Cuesta. American Antiquity, 84(4), 728-747. doi:10.1017/aaq.2019.74. Reeves, J. S., McPherron, S. P., Aldeias, V., Dibble, H. L., Goldberg, P., Sandgathe, D., & Turq, A. (2019). Measuring spatial structure in time-averaged deposits insights from Roc de Marsal, France. Archaeological and Anthropological Sciences. https://doi.org/10.1007/s12520-019-00871-y. Reynolds, N., & Green, C. (2019). Spatiotemporal modelling of radiocarbon dates using linear regression does not indicate a vector of demic dispersal associated with the earliest Gravettian assemblages in Europe. Journal of Archaeological Science: Reports, 27, 101958. https://doi.org/10.1016/j.jasrep.2019.101958. Reynolds, N., Germonpré, M., Bessudnov, A. A., & Sablin, M. V. (2019). The Late Gravettian Site of Kostënki 21 Layer III, Russia: a Chronocultural Reassessment Based on a New Interpretation of the Significance of Intra-site Spatial Patterning. Journal of Paleolithic Archaeology. https://doi.org/10.1007/s41982-018-0018-6. Režek, Ž., Dibble, H.L., McPherron, S.P., Braun, D.R., Lin, S.C., (2018). Two million years of flaking stone and the evolutionary efficiency of stone tool technology. Nature Ecology & Evolution 1.https://doi.org/10.1038/s41559-018-0488-4, https://doi.org/10.5281/zenodo.1194711. Riede, F. C. Hoggard & S. Shennan (2019). Reconciling material cultures in archaeology with genetic data requires robust cultural evolutionary taxonomies. Palgrave Communications 5, Article number: 55 (2019) https://www.nature.com/articles/s41599-019-0260-7#Fn1. Riris, P., Silva, F. (2021). Resolution and the detection of cultural dispersals: development and application of spatiotemporal methods in Lowland South America. Humanities and Social Sciences Communications 8, 36 https://doi.org/10.1057/s41599-021-00717-w. Riris, P. (2020). Spatial structure among the geometric earthworks of western Amazonia (Acre, Brazil). Journal of Anthropological Archaeology, 59, 101177. https://doi.org/10.1016/j.jaa.2020.101177 https://doi.org/10.17605/OSF.IO/NG896. Riris, P., & Arroyo-Kalin, M. (2019). Widespread population decline in South America correlates with mid-Holocene climate change. Scientific reports, 9(1), 6850. Riris, P. (2018). Dates as Data Revisited: A Statistical Examination of the Peruvian Preceramic Radiocarbon Record. Journal of Archaeological Science 97 (September 1, 2018): 67–76.https://doi.org/10.1016/j.jas.2018.06.008. Roberts, N., Woodbridge, J., Bevan, A., Palmisano, A., Shennan, S., & Asouti, E. (2018). Human responses and non-responses to climatic variations during the last Glacial-Interglacial transition in the eastern Mediterranean. Quaternary Science Reviews, 184, 47-67. https://doi.org/10.1016/j.quascirev.2017.09.011. Robinson, Erick, Bocinsky R. Kyle, Bird Darcy, Freeman Jacob and Kelly Robert L. (2021). Dendrochronological dates confirm a Late Prehistoric population decline in the American Southwest derived from radiocarbon dates Philosophical Transactions of the Royal Society B: Biological Sciences B37620190718 http://doi.org/10.1098/rstb.2019.0718. Roscoe, Paul, Sandweiss Daniel H. and Robinson Erick (2021). Population density and size facilitate interactive capacity and the rise of the state Philosophical Transactions of the Royal Society B: Biological Sciences B37620190725 http://doi.org/10.1098/rstb.2019.0725. Rubio-Campillo, X., Montanier,, J.M., Rull, G., Bermúdez Lorenzo, J.M., Moros Díaz, J., Pérez González, J., Remesal Rodríguez, J. (2018). The ecology of Roman trade. Reconstructing provincial connectivity with similarity measures, Journal of Archaeological Science, 92, pp. 37-47. doi:10.1016/j.jas.2018.02.010 https://github.com/xrubio/ecologyStamps. Rubio-Campillo, X., Coto-Sarmiento, M., Pérez-Gonzalez, J. and Remesal Rodríguez, J. (2017). Bayesian analysis and free market trade within the Roman Empire, Antiquity, 91(359), pp. 1241–1252. doi:10.15184/aqy.2017.131 https://github.com/xrubio/bayesRome. Sanger, M.C., Bourcy, S., Ogden, Q.M. et al. (2020). Post-marital Residence Patterns in the Late Archaic Coastal Southeast USA: Similarities in Stone Tools Revealed by Geometric Morphometrics. Journal of Archaeological Method and Theory 27, 327–359 https://doi.org/10.1007/s10816-019-09435-9 https://orb.binghamton.edu/dissertation_and_theses/46/. Schauer, Peter, Andrew Bevan, Stephen Shennan, Kevan Edinborough, Tim Kerig, Mike Parker Pearson (2020). British Neolithic axe distributions and their implications. Journal of Archaeological Method and Theory 27, 836–859. https://doi.org/10.1007/s10816-019-09438-6. Schmid, C. (2019). Evaluating Cultural Transmission in Bronze Age burial rites of Central, Northern and Northwestern Europe using radiocarbon data. Adaptive Behavior, 1059712319860842. https://osf.io/b6np2/. Schmidt, S. C. (2020). Siedlungsgrößen und Abstände zwischen Siedlungsstandorten – eine geostatistische Analyse von Transektdaten, Praehistorische Zeitschrift, 94(2), 499-528. doi: https://doi.org/10.1515/pz-2019-0015. Schmidt, Isabell, Hilpert Johanna, Kretschmer Inga, Peters Robin, Broich Manuel, Schiesberg Sara, Vogels Oliver, Wendt Karl Peter, Zimmermann Andreas and Maier Andreas (2021). Approaching prehistoric demography: proxies, scales and scope of the Cologne Protocol in European contexts Philosophical Transactions of the Royal Society B: Biological Sciences B37620190714 http://doi.org/10.1098/rstb.2019.0714. Schmidt, S.C. and Marwick, B., (2020). Tool-Driven Revolutions in Archaeological Science. Journal of Computer Applications in Archaeology, 3(1), pp.18–32. DOI: http://doi.org/10.5334/jcaa.29. Selden Jr., R. Z., Dockall, J. E., Bousman, C. B., & Perttula, T. K. (2021). Shape as a function of time + raw material + burial context? An exploratory analysis of Perdiz arrow points from the ancestral Caddo area of the American Southeast. Journal of Archaeological Science: Reports, 37, 102916. https://doi.org/10.1016/j.jasrep.2021.102916. Selden, R. Z., Dockall, J. E., & Dubied, M. (2020). A quantitative assessment of intraspecific morphological variation in Gahagan bifaces from the southern Caddo area and central Texas. Southeastern Archaeology, 39(2), pp.125–145. DOI: https://doi.org/10.1080/0734578X.2020.1744416 data & code: https://osf.io/2g95w/. Shennan, SJ, Enrico R. Crema, Tim Kerig, (2014). Isolation-by-distance, homophily, and 'core' vs. 'package' cultural evolution models in Neolithic Europe, Evolution and Human Behavior, Available online 2 October 2014, http://dx.doi.org/10.1016/j.evolhumbehav.2014.09.006. Sinensky, R. J., and A. Farahani. (2018). DIVERSITY-DISTURBANCE RELATIONSHIPS IN THE LATE ARCHAIC SOUTHWEST: IMPLICATIONS FOR FARMER-FORAGER FOODWAYS American Antiquity 83 (2): 364–364. https://doi.org/10.1017/aaq.2017.74. Silva, F., (2020). A probabilistic framework and significance test for the analysis of structural orientations in skyscape archaeology. Journal of Archaeological Science 118, 105138. https://doi.org/10.1016/j.jas.2020.105138. Stantis, C., Kharobi, A., Maaranen, N. et al. (2021). Multi-isotopic study of diet and mobility in the northeastern Nile Delta. Archaeological and Anthropological Sciences 13, 105 (2021). https://doi.org/10.1007/s12520-021-01344-x. Steele, Teresa E., Alex Mackay, Kathryn E. Fitzsimmons, Marina Igreja, Ben Marwick, Jayson Orton, Steve Schwortz, and Mareike C. Stahlschmidt (2016). "Varsche Rivier 003: A Middle and Later Stone Age Site with Still Bay and Howieson's Poort Assemblages in Southern Namaqualand, South Africa" PaleoAnthropology 2016:100-163 http://www.paleoanthro.org/media/journal/content/PA20160100.pdf, < http://dx.doi.org/10.5281/zenodo.31903>. Stewart, M., Carleton, W.C. & Groucutt, H.S. (2021). Climate change, not human population growth, correlates with Late Quaternary megafauna declines in North America. Nature communications 12, 965 https://doi.org/10.1038/s41467-021-21201-8. Stoddart, S., Palmisano, A.,Redhouse, D., Barker, G., di Paola, G., Motta, L., Rasmussen, T., Samuels, T. & Witcher, R. (2020). Patterns of EtruscanUrbanism. Front. Digit. Humanit. 7:1. https://doi.org/10.3389/fdigh.2020.00001. Strawhacker, C., Snitker, G., Peeples, M. A., Kinzig, A. P., Kintigh, K. W., Bocinsky, K., ... & Sandor, J. A. (2020). A Landscape Perspective on Climate-Driven Risks to Food Security: Exploring the Relationship between Climate and Social Transformation in the Prehispanic US Southwest. American Antiquity, 85(3), 427-451. https://doi.org/10.1017/aaq.2020.35 https://github.com/gsnitker/LTVTP https://core.tdar.org/collection/14044/long-term-vulnerability-and-transformation-project-ltvtp-documents-and-data. Suárez, R., & Cardillo, M. (2019). Life history or stylistic variation? A geometric morphometric method for evaluation of Fishtail point variability. Journal of Archaeological Science: Reports, 27, 101997. https://doi.org/10.1016/j.jasrep.2019.101997. Suryanarayan, A., Cubas, M., Craig, O. E., Heron, C. P., Shinde, V. S., Singh, R. N., O'Connell, T. C., Petrie, C. A. (2021). Lipid residues in pottery from the Indus Civilisation in northwest India. _Journal of Archaeological Science_125. https://doi.org/10.1016/j.jas.2020.105291. Tallavaara, Miikka and Jørgensen Erlend Kirkeng (2021). Why are population growth rate estimates of past and present hunter–gatherers so different? Philosophical Transactions of the Royal Society B: Biological Sciences B37620190708 http://doi.org/10.1098/rstb.2019.0708. Timpson, Adrian, Barberena Ramiro, Thomas Mark G., Méndez César and Manning Katie (2021). Directly modelling population dynamics in the South American Arid Diagonal using 14C dates Philosophical Transactions of the Royal Society B: Biological Sciences B37620190723 http://doi.org/10.1098/rstb.2019.0723. Ullah, Isaac I. T., Ian Kuijt, and Jacob Freeman. (2015). “Toward a Theory of Punctuated Subsistence Change.” Proceedings of the National Academy of Sciences 112 (31): 9579–84. https://doi.org/10.1073/pnas.1503628112. http://figshare.com/articles/Cross_cultural_data_for_multivariate_analysis_of_subsistence_strategies/1404233. Vander Linden, Marc and Silva Fabio (2021). Dispersals as demographic processes: testing and describing the spread of the Neolithic in the Balkans Philosophical Transactions of the Royal Society B: Biological Sciences B37620200231 http://doi.org/10.1098/rstb.2020.0231. Vignoles, Anais, William E. Banks, Laurent Klaric, Masa Kageyama, Marlon E. Cobos, Daniel Romero-Alvarez. (2020). Investigating relationships between technological variability and ecology in the Middle Gravettian (ca. 32-28 ka cal. BP) in France. (2020), OSF, ud3hj, ver. 3 peer-reviewed and recommended by PCI Archaeology. https://doi.org/10.31219/osf.io/ud3hj. Wang, L. and Marwick, B. (2020). Standardization of ceramic shape: A case study from the Iron Age pottery from northeastern Taiwan. Journal of Archaeological Science: Reports 33. https://doi.org/10.1016/j.jasrep.2020.102554 https://github.com/LiYingWang/kwl.pottery https://osf.io/abvgf/. Wang, L. and Marwick, B. (2020). Ornaments as indicators of social changes resulting from indirect effects of colonialism in northeastern Taiwan. Archaeological Research in Asia. https://doi.org/10.1016/j.ara.2020.100226 https://github.com/LiYingWang/kwl-ornaments https://osf.io/r8yga/. Weiss, Marcel. (2020). “The Lichtenberg Keilmesser - It’s All about the Angle.” PLOS ONE 15(10): e0239718. https://doi.org/10.1371/journal.pone.0239718. Weitzel, E. M. (2019). Declining foraging efficiency in the Middle Tennessee River Valley prior to initial domestication. American Antiquity, 1-24. https://doi.org/10.1017/aaq.2018.86 https://osf.io/2gub7/. Wilczek, J., Monna, F., Navarro, N., & Chateau-Smith, C. (2021). A computer tool to identify best matches for pottery fragments. Journal of Archaeological Science: Reports, 37, 102891. https://doi.org/10.1016/j.jasrep.2021.102891. Wolfhagen, J. (2020). Re-examining the use of the LSI technique in zooarchaeology. Journal of Archaeological Science Volume 123, November 2020, 105254 https://doi.org/10.1016/j.jas.2020.105254 https://osf.io/4k62y/. Wolfhagen, J. and Price, M. D. (2017). A probabilistic model for distinguishing between sheep and goat postcranial remains. Journal of Archaeological Science: Reports 12: 625-31. https://doi.org/10.1016/j.jasrep.2017.02.022. Wren, C. D., & Burke, A. (2019). Habitat suitability and the genetic structure of human populations during the Last Glacial Maximum (LGM) in Western Europe. PloS one, 14(6), e0217996. https://osf.io/n24rq/. Wren, C. D., Botha, S., De Vynck, J., Janssen, M. A., Hill, K., Shook, E., Marean, C. W. (2019). The foraging potential of the Holocene Cape south coast of South Africa without the Palaeo-Agulhas Plain. Quaternary Science Reviews, 105789. https://doi.org/10.1016/j.quascirev.2019.06.012. Yaworsky, P. M., Vernon, K. B., Spangler, J. D., Brewer, S. C., & Codding, B. F. (2020). Advancing predictive modeling in archaeology: An evaluation of regression and machine learning methods on the Grand Staircase-Escalante National Monument. PloS one, 15(10), e0239424. https://doi.org/10.1371/journal.pone.0239424. Ben Marwick, Agustin Diez Castillo, Allar Haav, Sebastian Heath, Phil Riris, Tom Brughmans, Lee Drake, Stefano Costa, Enrico Crema, Domenico Giusti, Matt Peeples, Mark Madsen, Daniel Contreras, Tal Galili, Li-Ying Wang.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/benmarwick/ctv-archaeology.git

          • CLI

            gh repo clone benmarwick/ctv-archaeology

          • sshUrl

            git@github.com:benmarwick/ctv-archaeology.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link