Geospatial Investigations into a Woodland Period Post Mold Alignment at the Silver Glen Springs Archaeological Complex, Florida

Author(s): Charles Rainville; Asa Randall

Year: 2021

Summary

This is an abstract from the "SAA 2021: General Sessions" session, at the 86th annual meeting of the Society for American Archaeology.

The landscape of the Silver Glen Springs Archaeological Complex has been extensively modified for at least 9000 years, including the construction of shell mounds and wooden post structures. The focus of previous research at this complex on reconstructing the massive Shell mounds and monuments along the spring run has left the non-mounded areas under-investigated. During the summer of 2018, a joint University of Oklahoma and University of Florida field school conducted a multi-sensor geophysical investigation of the non-mounded areas, including ground-penetrating radar (GPR) and magnetic gradiometry. An oval alignment of anomalies was revealed in the magnetic gradiometry data. Targeted test unit excavations identified post-molds and deep pits, corroborating the geophysical data. The geophysical data were then post-processed and further investigated using spatial statistical methods in ArcGIS.The results suggest that the post-mold alignments, as well as other archaeological signatures at this site, have a distinct architectural logic in their relation with each other and the complex writ large. This poster will argue that the geophysical and excavation data tie the post alignment into the collection of monuments at the Silver Glen Springs archaeological complex, and that these monuments are part of a larger interconnected landscape of memory.

Cite this Record

Geospatial Investigations into a Woodland Period Post Mold Alignment at the Silver Glen Springs Archaeological Complex, Florida. Charles Rainville, Asa Randall. Presented at The 86th Annual Meeting of the Society for American Archaeology. 2021 ( tDAR id: 467719)

This Resource is Part of the Following Collections

Spatial Coverage

min long: -93.735; min lat: 24.847 ; max long: -73.389; max lat: 39.572 ;

Record Identifiers

Abstract Id(s): 33307