This repository contains the data and code for our paper:
Nørtoft, Mikkel, (2022). A new Framework for Quantifying Prehistoric Grave Wealth. Journal of Computer Applications in Archaeology, 5(1), pp. 123-139 https://doi.org/10.5334/jcaa.86
The paper quantifies grave wealth from eight different parameters, and use these in correlation with demographic factors and for calculating Gini indices using Moravian Corded Ware Culture (CWC) graves as a case study. One of the eight parameters is (estimated) manufacturing time of grave goods. The extensive Supplementary Information (SI) in this repository goes into more detail about how manufacturing time is calculated based on primarily experimental reference data, and then applied to archaeological data from different material-specific parameters. The SI (open SI.html in a separate window or tab) also elaborates on other theoretical, methodological, and contextual aspects that could not fit in the main paper. Apart from this, all R-scripts, reference data and archaeological data (grave and grave good data from Moravian CWC, and geodata for raw material sources from around Europe) used in the main paper and the SI can be found in this repository.
Please cite this compendium as:
Nørtoft, Mikkel, (2022). Repository for A new Framework for Quantifying Prehistoric Grave Wealth. Accessed 13 sep 2022.
The analysis directory contains:
- 📁 paper: R Markdown source document for manuscript. Includes code (or code references) to reproduce the figures and tables generated in the paper. See CAA journal for the main paper.
- 📁 data: Data used in the analysis (both experimental reference data and archaeological data).
- 📁 scripts: Scripts used in the analysis.
- 📁 figures: illustrations for the main paper
- 📁 supplementary-information:
RMarkdown file for the Supplementary information (SI) with specifics
on how manufacturing time and other value parameters in the main
paper were calculated as well as extended description of
theoretical, methodological, and contextual aspects that did not fit
in the main paper. See prehistoricmap.com/quantwealth/SI.html for a
rendered version or the same file at Zenodo
- 📁 figures_SI: illustrations for the Supplementary Information.
This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.
The simplest way to work with this repository is to clone or download
it, and then: - open the .Rproj file in RStudio - run
devtools::install() to ensure you have the packages this analysis
depends on (also listed in the DESCRIPTION file). -
finally, open analysis/paper/paper_word.Rmd and knit to produce the
paper (some things were manually edited in official version of the paper
and may not appear in the re-knitted output), or run
rmarkdown::render("analysis/paper/SI.Rmd") in the R console to produce
the SI.html (takes some time to produce)
Text and figures : CC-BY-4.0
Code : See the DESCRIPTION file
Data : CC-0 attribution requested in reuse
We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.