A geoarchaeological approach to the interpretation of incomplete spatial data

Summary

As in all archaeology, geoarchaeologists sample discrete loci and use those data to make generalizations about broad areas. When interpolating and extrapolating from known data points, errors may be introduced which can bias interpretation. Here, examples from CRM illustrate some of the challenges of analyzing discontinuous or otherwise incomplete spatial data.

SAA 2015 abstracts made available in tDAR courtesy of the Society for American Archaeology and Center for Digital Antiquity Collaborative Program to improve digital data in archaeology. If you are the author of this presentation you may upload your paper, poster, presentation, or associated data (up to 3 files/30MB) for free. Please visit http://www.tdar.org/SAA2015 for instructions and more information.

This Resource is Part of the Following Collections

• Mind the Gap: Archaeological Approaches to Null Data Spaces   •
• Society for American Archaeology 80th Annual Meeting, San Francisco, CA (2015)

Keywords

Spatial Coverage