Traceable steps from messy sources to interpretable outputs. Use PCA, clustering, and compositional plotting for slag, ceramics, and glass in one coherent workspace.
ARQAVE
Built for imperfect archaeological data. Designed for transparent analysis and repeatable results. Move from extraction to interpretation without tool fragmentation.
Archaeological measurement is often locked inside appendices, tables, and PDFs. ArQave opens that layer so you can structure, explore, and interpret material datasets while keeping context close.
Archaeological datasets are inherited, fragmented, and inconsistently formatted. ArQave supports cleaning and structuring without forcing a template first workflow.
PCA, clustering, and compositional plots are investigative instruments. Steps remain interpretable and repeatable, supporting critique and iteration.
Ceramics, slag, and glass are more than numbers. ArQave helps reveal material signatures while keeping the interpretive layer near the evidence.
Extract tables, structure datasets, run analysis, and export clean outputs for papers, labs, and site comparisons.
Reduce fragmentation. Move from documentation to analysis with a workflow designed for archaeomaterials research.
Extract and structure
Convert tables from reports and PDFs into clean, analysable datasets.
Clean and normalise
Standardise columns, units, and missing values for consistent comparisons.
Explore structure
Use PCA and clustering to identify similarity, separation, and hidden groupings.
Interpret composition
Use ternary systems tailored to ceramics, slag, and glass to interpret signatures.
ArQave does not replace archaeological judgement. It provides a workspace that makes evidence easier to test, compare, and interpret so conclusions remain grounded.