id Url Resource template Resource class Title Creator Subject Description Publisher Contributor Date Type Format Identifier Language Relation Coverage Rights Alternative Title Abstract Date Created Date Issued Date Modified Medium Is Replaced By Replaces Requires Is Part Of Has Part Is Referenced By References Spatial Coverage Temporal Coverage Access Rights Bibliographic Citation License Rights Holder Cited by Cites Editor List of editors Status Doi Identifier Isbn Issn Issue Number of pages Number of volumes Pages Short title Uri Volume Name Surname Homepage Funded by Account Member Status Tag Number Current Location Is Shown At Is Shown By Europeana Rights Europeana Type Part of Is supported by Is supplied by Latitude Longitude Lat/long Has format Operating systems In series 10712 https://chloe.cnr.it/s/BiDiAr/item/10712 Academic Article bibo:AcademicArticle A new computational method to quantify morphological standardization and variation within ceramic assemblages Vo-Phamhi, Jenny | Leidwanger, Justin 2020 eng https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0 Analysis of ceramic standardization and variation provides a powerful tool for evaluating the scale, organization, and technological practices behind pre-modern production and for gauging the coordination and complexity of past economic systems. The selection of formal attributes to allow effective measurement and comparison of complex shapes, though, presents a crucial challenge to systematic study. Alongside fabric composition and surface treatment, consistent linear dimensions offer helpful metrics for assessing standardized production. More difficult to measure, though, are the many finely graduated variations in shape that can reflect how these processes were implemented and the limits to large-scale serial productions like those of the ancient Mediterranean world. We offer here a new method and computational pipeline, developed using open-source libraries, to quantify morphological similarities and differences among ceramics. Grounded in point cloud comparison, our method enables comprehensive 3D characterization of geometries down to the pixel level and leverages state-of-the-art machine learning algorithms and high-speed data structures for efficiency and scalability across large assemblages. Case studies of transport amphoras from two late antique shipwrecks off the coast of southwest Turkey demonstrate the robustness of the methodology and pipeline. Together, they provide an analytically rigorous and flexible approach to quantifying formal variation within a dataset. The first results suggest strategies for controlling the capacities of these transport jars within late ancient systems of production, but the method should also prove useful in formal analysis of artifacts of other forms and contexts. https://chloe.cnr.it/s/BiDiAr/item/2002 https://doi.org/10.19282/ac.31.1.2020.03 1 55-76 https://www.archcalc.cnr.it/journal/articles/1114 31 https://www.zotero.org/groups/5293298/bidiar/items/7RCBDY8U/item-list