ercrema / beyond_aoristic

Data and R scripts for the paper 'A Bayesian alternative for Aoristic analyses in Archaeology'

Data and R scripts for the paper 'A Bayesian alternative for Aoristic analyses in Archaeology'

This repository contains data and scripts used in the following paper:

Crema, E.R. (2024) A Bayesian alternative for Aoristic analyses in Archaeology. Archaeometry

The repository is organised into four directories: figures, results, scripts, and src. The scripts directory contains R scripts for each of the four simulation experiments, src contains utility functions, results contains R image files with the analyses output, and figures contains all figures in the manuscript and the R script required to generate them.

File Structure

figures

• figure1.png ~ figure6.png ... PNG version of manuscript figures. Generated using the command Rscript figures.R png. TIFF version can be generated with Rscript figures.R tiff.
• figures.R ... generates all figures for the manuscript.

results

• exo01_res.RData ... R image file containing results of experiment 1, generated running experiment01.R.
• exo02a_res.RData ... R image file containing results of experiment 2 (100 yrs resolution), generated running experiment02a.R.
• exo02b_res.RData ... R image file containing results of experiment 2 (10 yrs resolution), generated running experiment02b.R.
• exo03_res.RData ... R image file containing results of experiment 3, generated running experiment03.R.
• exo04_res.RData ... R image file containing results of experiment 4, generated running experiment04.R.
• figure1_res.RData ... R image containing objects required for figure 1, generated running figure1_sim.R.

scripts

• experiment01.R ... R script for running experiment #1
• experiment02a.R ... R script for running experiment #2 (100yrs resolution).
• experiment02b.R ... R script for running experiment #2 (10yrs resolution).
• experiment03.R ... R script for running experiment #3
• experiment04.R ... R script for running experiment #4
• figure1_sim.R ... R script for generating the data required for making figure 1.

src

• diristick.R ... Broken stick algorithm for generating random archaeological periodisation using the Dirichlet distribution.
• mcsim.R ... Monte-Carlo simulation for aoristic analyses.
• phaserect.R ... displays periodisations interval on existing plots.
• randtimespan.R ... assigns random time-spans to events.
• ribbon.R ... displays interval-based ribbons on existing plots.
• time2phase.R ... assign periods/phases to calendar dates based on user-defined intervals.
• unifdisc.R ... discrete uniform distribution functions.

R Session Info

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] nimbleCarbon_0.2.4 emdbook_1.3.13     dplyr_1.1.2        baorista_0.0.6    
[5] nimble_1.0.1       here_1.0.1        

loaded via a namespace (and not attached):
 [1] xfun_0.40              spatstat.sparse_3.0-2  lattice_0.22-5        
 [4] numDeriv_2016.8-1.1    vctrs_0.6.2            tools_4.3.1           
 [7] doSNOW_1.0.20          spatstat.utils_3.0-3   generics_0.1.3        
[10] goftest_1.2-3          stats4_4.3.1           parallel_4.3.1        
[13] tibble_3.2.1           proxy_0.4-27           fansi_1.0.4           
[16] pkgconfig_2.0.3        spatstat_3.0-6         Matrix_1.6-1.1        
[19] KernSmooth_2.23-22     lifecycle_1.0.3        compiler_4.3.1        
[22] deldir_1.0-9           spatstat.linnet_3.1-1  codetools_0.2-19      
[25] spatstat.explore_3.2-1 snow_0.4-4             class_7.3-22          
[28] pracma_2.4.2           pillar_1.9.0           MASS_7.3-60           
[31] classInt_0.4-9         spatstat.model_3.2-4   iterators_1.0.14      
[34] rpart_4.1.21           abind_1.4-5            foreach_1.5.2         
[37] nlme_3.1-163           spatstat.geom_3.2-4    tidyselect_1.2.0      
[40] bdsmatrix_1.3-6        mvtnorm_1.2-2          sf_1.0-14             
[43] splines_4.3.1          polyclip_1.10-4        rprojroot_2.0.3       
[46] grid_4.3.1             cli_3.6.1              magrittr_2.0.3        
[49] utf8_1.2.3             e1071_1.7-13           spatstat.data_3.0-1   
[52] tensor_1.5             igraph_1.5.1           coda_0.19-4           
[55] knitr_1.43             rcarbon_1.5.1          bbmle_1.0.25          
[58] mgcv_1.9-0             rlang_1.1.1            Rcpp_1.0.11           
[61] spatstat.random_3.1-5  glue_1.6.2             DBI_1.1.3             
[64] R6_2.5.1               plyr_1.8.8             units_0.8-3      

Please note that the R package baorista is not available on CRAN yet, but the latest version can be installed directly from GitHub with the following command:

library(devtools)
install_github('ercrema/baorista')

Funding

Philip Leverhulme Prize (#PLP-2019–304 Awarded to: E.Crema)

Licence

CC-BY 3.0