Scripting the spatial analysis of archaeological datasets
Author(s): Andrew Bevan
For some time, interpreted languages such as Python, Matlab and R have made it easy to document and run computational function calls either line-by-line or in a script. While the spatial functionality provided within these environments has long been seen as inferior to GIS packages, it has now reached considerable maturity. The open source, multi-purpose and often ‘bleeding edge’ nature of these working environments also mean that there are often considerable analytical advantages to using them instead of mainstream GIS. This often means that while visualisation and querying of spatial data in archaeology might still first be explored via earth viewers and traditional GI systems, entire final spatial analytical workflows can now be conducted and shared via scripts in a manner similar to standard statistical and non-spatial methods. This should have considerable implications for how we teach students, make working notes, conduct peer review and archive spatially-explicit archaeological research, and this paper considers these issues via a series of practical examples in R.
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
- Society for American Archaeology 80th Annual Meeting, San Francisco, CA (2015) •
- Open methods in archaeology: how to encourage reproducible research as the default practice
Cite this Record
Scripting the spatial analysis of archaeological datasets. Andrew Bevan. Presented at The 80th Annual Meeting of the Society for American Archaeology, San Francisco, California. 2015 ( tDAR id: 397307)