Project WEAR: a methodological framework for experimental and computational analysis of stone tool uses

The WEAR project is developing integrative methods to analyse and predict use-related shape transformation of Neolithic stone tools from Central Europe through experimental archaeology and computational modelling.

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Publication Details

Journal
Antiquity
Published
2026-02-24
DOI
https://doi.org/10.15184/aqy.2026.10300
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00

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article

Project WEAR: a methodological framework for experimental and computational analysis of stone tool uses

Christoph von Tycowicz, Simone Meinecke, M. Valentini, Julius Mayer et al.
Antiquity
Image Processing and 3D Reconstruction
article

Project WEAR: a methodological framework for experimental and computational analysis of stone tool uses

Christoph von Tycowicz, Simone Meinecke, M. Valentini, Julius Mayer, Michael Brandl, Laura Dietrich, Lohengrin Baunack, Iris Schmidt, Wulf Hein
article en

Abstract

The WEAR project is developing integrative methods to analyse and predict use-related shape transformation of Neolithic stone tools from Central Europe through experimental archaeology and computational modelling.

Antiquity
Universitat Autònoma de Barcelona (ES), Zuse Institute Berlin (DE), Arheološki Institut (RS), Martin Luther University Halle-Wittenberg (DE)
Deutsche Forschungsgemeinschaft, Austrian Science Fund
Openalex Percentile: Top 47%
Image Processing and 3D Reconstruction
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