Figure - available from: Journal of Archaeological Method and Theory
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Distribution across the study area of archaeological sites and random points used in GIS modeling and statistical analysis
Source publication
The potential influence of bias long has haunted archaeological practice and discourse. In North America, late Pleistocene fluted-point studies commonly assess the role of sampling, or recovery, bias on site distributions, often with conflicting results. Interestingly, archaeologists rarely examine potential sampling bias on the distributions of la...
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Between 1966 and 1972, Richard MacNeish led the “Ayacucho Archaeological-Botanical Project” in the Ayacucho Basin, south-central Peru. Over the last decade, we reappraised the lithics recovered in this endeavor. As part of this research, we carried out a detailed review of the lithic remains from the lowest strata of Pikimachay Cave. We concluded t...
Citations
... The problem is even more acute when we base our analyses on legacy data. When working with old survey data, one can consider the survey methodology and test for the resulting biases (Casarotto et al., 2018;Purtill, 2022). ...
Point pattern analysis (PPA) has gained momentum in archaeological research that models large-scale distributions of sites and explanatory covariates. As such, there has been increased interest in the bias of archaeological distributions, which mostly have an impact due to modern land-use change. These interactions, however, have not yet been fully explored. In order to better understand archaeological point patterns as functions of explanatory covariates, we offer three different approaches: (i) environmental preference modelling of archaeological records in different chronological phases; (ii) a custom bias surface that represents the variability of the regional landscape; (iii) an R-package (rbias) allowing the generation of a fuzzified bias surface based on Open Street Map (OSM) data.
... The problem is even more acute when we base our analyses on legacy data. When working with old survey data, one can consider the survey methodology and test for the resulting biases (Casarotto et al., 2018;Purtill, 2022). ...
