2007
DOI: 10.1016/j.jas.2006.08.005
|View full text |Cite
|
Sign up to set email alerts
|

Edge damage distribution at the assemblage level on Middle Stone Age lithics: an image-based GIS approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
22
0

Year Published

2010
2010
2020
2020

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 39 publications
(24 citation statements)
references
References 29 publications
2
22
0
Order By: Relevance
“…Comparing edge damage to a random or uniform distribution as a proxy for taphonomic damage is reasonable when there is no systematic patterning in edge angle, but when there is, or when the distribution of edge angle is unknown, it is necessary to compare with empirical experimental assemblages that include the same variability in edge angle as archaeological assemblages. In other words, finding that an assemblage distribution of damage is significantly non-random (i.e., Bird et al 2007;Schoville, 2010) does not necessarily imply behavioral edge damage formation. To account for both tool shape and edge angle in this dissertation, damage distributions will be compared to random, but also to empirical taphonomic edge damage distributions from lithic material separated into morphologically similar categories as archaeological tools so that edge angle is accounted for.…”
Section: Shape and Edge Anglementioning
confidence: 97%
See 4 more Smart Citations
“…Comparing edge damage to a random or uniform distribution as a proxy for taphonomic damage is reasonable when there is no systematic patterning in edge angle, but when there is, or when the distribution of edge angle is unknown, it is necessary to compare with empirical experimental assemblages that include the same variability in edge angle as archaeological assemblages. In other words, finding that an assemblage distribution of damage is significantly non-random (i.e., Bird et al 2007;Schoville, 2010) does not necessarily imply behavioral edge damage formation. To account for both tool shape and edge angle in this dissertation, damage distributions will be compared to random, but also to empirical taphonomic edge damage distributions from lithic material separated into morphologically similar categories as archaeological tools so that edge angle is accounted for.…”
Section: Shape and Edge Anglementioning
confidence: 97%
“…The method used in this dissertation builds upon a more quantitative approach through analysis of assemblage distributions of edge damage. This approach was initiated by Bird et al (2007) to look at the patterns of edge damage on a sample of points from Pinnacle Point Cave 13B (PP13B), South Africa, and then refined further by Schoville (2010) using the complete sample of MSA points from PP13B. In these studies, instances of edge damage scars along the edge are mapped onto the artifact images in GIS, and then aggregated by assemblage to create summary distributions.…”
Section: Inferring Technological Adaptationsmentioning
confidence: 99%
See 3 more Smart Citations