These files were created for the book Consumerism in the Ancient World: Imports and Identity Construction (Routledge 2014). They include almost 24,000 Greek vases or fragments of vases dating ca. 800-300 BCE from 233 sites in Portugal, Spain, France, Germany, and Switzerland. The maps illustrate the results of a geostatistical technique called kriging, which predicts distributions of vases on the basis of samples. The maps are available in the original ArcGIS format or in reduced versions as multi-layer PDFs.
Access Database (.ACCDB, .CSV, and .XLSX): Contains the original database, as well as the major tables from the database in widely-used spreadsheet formats, for those who do not have Microsoft Access.
ArcGIS maps (.MPK): The full map files, including data (requires ArcGIS, version 10.1 or higher).
Excel spreadsheets (.CSV and .XLSX): The spreadsheet files which were used to prepare data from the database before importing into ArcGIS for generating maps.
Multi-layer PDFs: The maps in Adobe Reader format. These maps include all of the layers found in the ArcGIS maps, but due to technical limitations do not have legends which explain the precise ranges associated with color contours, as are found in .MPK versions above. In general, for the kriging layer, blue and green are associated with low predicted values and orange and red are associated with high predicted values. For the kriging error layer, the areas surrounded by the black contour line are associated with the lowest predicted error (and thus the highest confidence), while the areas surrounded by lighter contour lines are associated with successively greater error and reduced confidence. The files are grouped by the type of analysis: artifact counts (N), presence-absence, and Simpson's Index of Diversity (SDI).
New York, NY
Greek pottery, consumerism, consumption, ancient trade, data, Mediterranean
Walsh, Justin St. P. 2014. "Consumerism in the Ancient World: Imports and Identity Construction" data files. Distributed by Orange, CA: Chapman University Digital Commons. https://doi.org/10.36837/chapman.000001
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