Comparative Archaeology Database, University of Pittsburgh
Belize River Valley Regional Dataset
This dataset complements the article Modeling Variability in Classic Maya Intermediate Elite Political Strategies through Multivariate Analysis of Settlement Patterns (2019) by John P. Walden, Claire E. Ebert, Julie A. Hoggarth, Shane M. Montgomery, and Jaime J. Awe (Journal of Anthropological Archaeology, 55:101074), which compares 28 variables across 35 sites in the Belize Valley Archaeological Reconnaissance (BVAR) project permit area.
The region contains six major centers, Baking Pot, Blackman Eddy, Cahal Pech, Ek Tzul, Lower Barton Creek, and Lower Dover. These served as capitals to six small polities. The other sites included in the dataset reflect the residences of intermediate elites and high-status commoners situated at the apex of the different neighborhoods and districts in the hinterlands of these polities. The dataset provides the values for all variables used in the multivariate analyses.
Financial support was provided by the BVAR Project field school and grants from the University of Pittsburgh International Studies Fund and Center for Latin American Studies (J. Walden, J. Hoggarth), the National Science Foundation under a Graduate Research Fellowship (Grant No. DGE1255832, C. Ebert) and a Dissertation Improvement Grant (BCS-1460369, C. Ebert), and by the Penn State Department of Anthropology Hill Fellowship for graduate student research (C. Ebert). Additional funding support for the BVAR Project was provided by the Tilden Family Foundation (San Francisco, California), the Social Science Research Council of Canada, and the Gordon Childe Fund of the University of London (J. Awe)
Walden, John P. (2021) Belize River Valley Regional Dataset. Comparative Archaeology Database, University of Pittsburgh. URL: <http://www.cadb.pitt.edu>.
Questions or comments about this dataset or the Comparative Archaeology Database can be directed to firstname.lastname@example.org via email.
The numeric data is provided in two file formats. Comma-delimited text files should be easy to import into spreadsheet, database, and statistical programs for manipulation and analysis. Excel spreadsheets are easier to browse, and can also be imported into many programs. The numeric data files are as follows:
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