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This research aims to develop empirical methods for analyzing spatio-temporal data in archaeogenetics and archaeology.

February 14, 2026Open Access

Spatio-temporal interpolation in archaeogenetics and archaelogy: computational methods for reconstructiong human mobility and cultural history

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This dissertation demonstrates computational methods to reconstruct human mobility in archaeology, suggesting new ways to analyze historical data.

This research aims to develop empirical methods for analyzing spatio-temporal data in archaeogenetics and archaeology.
Introduced the Poseidon framework for managing ancient DNA genotype data with spatio-temporal context.
Developed the R package bleiglas for visualizing spatio-temporal point data using 3D Voronoi tessellation.
Implemented the mobest algorithm to quantify human mobility in Holocene Western Eurasia using ancient genomic data.
Created a flexible tool in locest for Kernel average smoothing-based spatio-temporal interpolation.
Poseidon establishes a reproducible infrastructure for community-based archaeogenetic research.
The bleiglas package reveals large-scale temporal dynamics while accounting for data density and uncertainty.
mobest derives individual-level mobility estimates linked to major (pre)historic mobility events.
Continuous space-time models enable comparative analysis across various data types and disciplines.

Clemens Schmid (2025) studied this question.

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This dissertation demonstrates computational methods to reconstruct human mobility in archaeology, suggesting new ways to analyze historical data.