petrpajdla / settlements

Analysis for an article

settlements

This repository contains the data and code for our paper:

Trampota F., Pajdla P., (2022). Spatial analysis of Neolithic settlement patterns in central Europe. Journal? https://doi.org/xxx/xxx

The data paper accompanying this article:

Pajdla P.. Trampota F. (2021). Neolithic Settlements in Central Europe: Data from the Project ‘Lifestyle as an Unintentional Identity in the Neolithic’. Journal of Open Archaeology Data 9, p.13. http://doi.org/10.5334/joad.88.

Data is deposited in a Zenodo repository: https://doi.org/10.5281/zenodo.5653180.

How to cite

Please cite this compendium as:

Authors, (2022). Compendium of R code and data for Spatial analysis of Neolithic settlement patterns in central Europe. Accessed 23 Jun 2022. Online at https://doi.org/10.5281/zenodo.6703462

Contents

The analysis directory contains:

• 📁 paper: R Markdown source document for manuscript. Includes code to reproduce the figures and tables generated by the analysis. Further, the analysis is divided into three parts with different granularity/detail in time.
• 📁 neo: Analysis for Neolithic B and C periods.
• 📁 traditions: Analysis for pottery traditions.
• 📁 groups: Analysis for pottery groups.
• 📁 data: Data used in the analysis. We were not able to publish all our source data due to copyrights etc. There is also an individual data paper: http://doi.org/10.5334/joad.88.

How to run in your broswer or download and run locally

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 explore the text, code and data is to click on binder to open an instance of RStudio in your browser, which will have the compendium files ready to work with. Binder uses rocker-project.org Docker images to ensure a consistent and reproducible computational environment. These Docker images can also be used locally.

You can download the compendium as a zip from from this URL: master.zip. After unzipping: - 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.Rmd and knit to produce the paper.docx, or run rmarkdown::render("analysis/paper/paper.Rmd") in the R console

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Data : CC-0 attribution requested in reuse, please refer to the individidual data publication at http://doi.org/10.5334/joad.88.

Contributions

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.