- Presentation
- Installation
- Demonstration and tutorial
- Example data set
- Interoperability
- References
- Major news
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.packages("SEAHORS")
or
- Install the
SEAHORS
development version from github:
# install.packages("devtools")
devtools::install_github("AurelienRoyer/SEAHORS")
Load the package and launch the SEAHORS
application:
library(SEAHORS)
SEAHORS()
- 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.
The SEAHORS
comes with an embedded example data set, from the
Cassenade Palaeolithic site (France).
- Spatial data: https://nakala.fr/10.34847/nkl.e30aie2u
- Refit: https://nakala.fr/10.34847/nkl.fe27j10z
- Orthophoto: https://nakala.fr/10.34847/nkl.7ea78e6u
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 Table
tab, archeoViz exports
sub-tab:
- “Export your data in archeoViz format”: to download your data as a
CSV to upload in the
archeoViz
application. - “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.
- 12/2023 : addition of a "Bar plot display" in the "advanced 2D plot" panel, to obtain an histogram of selected points per levels and nature.
- 01/2024 : addition of two buttons "save" and "load" in the sidebarpanel, allowing to save and load settings and/or data.
- 01/2024 : addition option in "figure options" panel to expand limits of X and Y for "simple 2D plot" projection.
- 01/2024 : modification of the button "options for loading file" in the "import XYZ data" panel and addition of a numeric imput modifying the number of significant digit when the data are imported.