cropSpreadR: Exploring Spread Processes and Rates of Maize Agriculture

cropSpreadR is an R package implementing functions to perform analysis on the spread processes and movement rates of maize agriculture.

This is the official R package for cropSpreadR, which contains all code associated with the analyses described and presented, including figures and tables, in Gillreath-Brown et al. 2022 (submitted):

Gillreath-Brown, A., D. Bird, and T. A. Kohler (2022). Rate Variability on the Maize Northern Frontier in the Prehispanic Southwestern United States: Implications for Earliest Maize. Submitted to Journal of Archaeological Science: Reports for review.

All code for analysis, figures, and tables is in Maize_Spread_Processes.Rmd.

Installation

You can install cropSpreadR from GitHub with these lines of R code (Windows users are recommended to install a separate program, Rtools, before proceeding with this step):

if (!require("devtools")) install.packages("devtools")
devtools::install_github("Archaeo-Programmer/cropSpreadR")

Repository Contents

The 📁 vignettes directory contains:

• 📄 Maize_Spread_Processes: R Markdown document with all analysis and code to reproduce the figures and tables for the submitted paper (Gillreath-Brown et al. 2022).
• 📁 figures: Plots, figures, and illustrations in the paper, including supplementary materials.
• 📁 tables: Tables in the paper, including supplementary materials.

How to Run the Code?

To reproduce the analysis, output, figures, and tables, you will need to clone the repository. To clone the repository, you can do the following from your Terminal:

git clone https://github.com/Archaeo-Programmer/cropSpreadR.git
cd cropSpreadR

After installing the cropSpreadR package (via install_github as shown above or by using devtools::install()), then you can render the analysis, visualizations, and tables. You can compile the cropSpreadR analysis within R by entering the following in the console:

rmarkdown::render(here::here('vignettes/Maize_Analysis.Rmd'), output_dir = here::here('vignettes'))

Another option for reproducing the results is to use the package itself and follow along with the vignette, cropSpreadR. Data and functions are already loaded into the package.

Licenses

Code: GNU GPLv3

Data: CC-0 attribution requested in reuse

Acknowledgements

This material is based upon work supported by the National Science Foundation under Grants SMA-1637171 and SMA-1620462, and by the Office of the Chancellor, Washington State University-Pullman.