We employ this spatially explicit agent-based model to begin to examine how time-averaging can affect the spatial scale of cultural similarity in archaeological assemblage data. The model was built to address this question: to what extent does time-averaging affect the scale of local spatial association in the relative frequency of the most prevalent cultural variant in an archaeological landscape?
Programmed by Galen Miller-Atkins and Luke Premo
Compatible with NetLogo v. 6.0.2
The experiments reported in Miller-Atkins and Premo (2018) “Time-averaging and the spatial scale of regional cultural differentiation in archaeological assemblages,” published in Science and Technology of Archaeological Research, can be run from BehaviorSpace.