Matrix Seriation

For a set of archaeological assemblages in tabular form, the problem of seriation comes down to discovering a reordering of rows/columns inferred to be chronological. This approach relies on a set of well-defined statistical and archaeological assumptions (Dunnell 1970). This application allows to perform matrix seriation based on correspondence analysis.

Correspondence analysis is an effective method for the seriation of archaeological assemblages. The order of the rows and columns is given by the coordinates along one dimension of the analysis, assumed to account for temporal variation. Note that the direction of temporal change within the correspondence analysis space is arbitrary: additional information is needed to determine the actual order in time.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.

If you use this application in your research, you must report and cite it properly to ensure transparency of your results. Moreover, authors and maintainers of this project are more likely to continue their work if they see that it's being used and valued by the research community.

To cite in your publications, please use:

Frerebeau N (2024). “The tesselle Project: a Collection of R Packages for Research and Teaching in Archaeology.” Advances in Archaeological Practice. doi:10.1017/aap.2024.10 https://doi.org/10.1017/aap.2024.10.

Frerebeau N (2024). kairos: Analysis of Chronological Patterns from Archaeological Count Data. Université Bordeaux Montaigne, Pessac, France. doi:10.5281/zenodo.5653896 https://doi.org/10.5281/zenodo.5653896, R package version 2.2.0, https://packages.tesselle.org/kairos/.

You can save the state of the application and get a URL which will restore the application with that state. You can then copy the URL and save it for later, or share it with others so they can visit the application in the bookmarked state.

This is not intended for long-term storage. There is no guarantee as to how long your bookmark will last.

Bookmarking is currently disabled.

Dimensions

Sparsity

Missing values

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Click and drag to select an area, then double-click to zoom in. Double-click again to reset the zoom.
Individuals factor map
Variables factor map
Screeplot
Rearranged matrix