SEAHORS is a R Shiny free open-source application that makes the exploration of the spatial distribution of archaeological objects fast and easy. Its main goal is to make the two and three-dimensional spatial analysis of archaeological data as user-friendly as possible. This is intended to lower the barrier for users who are not familiar with GIS and R.
SEAHORS has an easily accessible interface and uses text and Excel files (CSV and XLS respectively). The application includes functions to merge several databases, for example when spatial data and analysis data are stored in separate files.
The application is demonstrated online here.
It can generate five types of plots:
- 3D plots
- 2D plots
- 2D density plots
- plots generated by slicing the points cloud
- plots generated by modifying the angle of projection to explore spatial organisation without constraint of the grid orientation.
SEAHORS has visualization tools with several sorting and formatting keys (colours) applicable to coordinates and all possible analysis variables (i.e. levels, splits, analytical attributes).
- Install R and optionally Rstudio Desktop to have a more comfortable R environment.
- Install SEAHORS from CRAN:
- Install the
SEAHORS development version from github:
Load the package and launch the
Demonstration and tutorial
- An demonstration instance of the
SEAHORS application is deployed and available online.
- An overview of the functionalities is published in the Royer et al. 2023.
- A tutorial video of
SEAHORS is available in English and in French.
Example data set: the Cassenade Palaeolithic site
SEAHORS comes with an embedded example data set, from the Cassenade Palaeolithic site (France).
To improve the interoperability between archaeological software,
SEAHORS can export data to the format required by the
[archeoViz](https://analytics.huma-num.fr/archeoviz/en/) application. Two options are available in the
archeoViz exports sub-tab:
- “Export your data in archeoViz format”: to download your data as a CSV to upload in the
- “Directly send your SEAHORS data to archeoViz”: this opens a new window, launches the
archeoViz application, and immediately load your data.
- Royer, A., Discamps, E., Plutniak, S., Thomas, M. 2023. “SEAHORS: Spatial Exploration of ArcHaeological Objects in R Shiny”. PCI Archaeology #320, DOI: 10.5281/zenodo.7674699.
- Royer, A., Discamps, E., Plutniak, S., Thomas, M. 2023. “SEAHORS. Spatial Exploration of ArcHaeological Objects in R Shiny”, R package, DOI: 10.5281/zenodo.7664191, https://cran.r-project.org/package=SEAHORS
- Royer, A., Discamps, E., Plutniak, S., Thomas, M. 2023. “SEAHORS: Spatial Exploration of ArcHaeological Objects in R Shiny”. Peer Community Journal, 3, n°e55, DOI: 10.24072/pcjournal.289.