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archaeological-network-uncertainty

R Markdown document associated with the workshop at the Computer Applications and Quantitative Methods in Archaeology Meeting in Atlanta, GA (2017) hosted by Matt Peeples and Tom Brughmans. Network Science and Statistical Techniques for Dealing with Uncertainties in Archaeological Datasets.

archnetsci

Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)

binomial-co-occurrence-assessment

The R-script implements a means for statistically assessing the degree of co-occurrence between classes within a dataset based on an idea origially suggested by James Allison at BYU and published by Keith Kintigh in 2006.

bookdown

Authoring Books and Technical Documents with R Markdown

bootstrap-correspondence-analysis

R-script for conducting and evaluating bootstrapped correspondence analyses following methods published by Peeples and Schachner (2012) in the Journal of Archaeological Science

borck-et-al-2015

Code from Borck et al. 2013 article in Journal of Archaeological Method and Theory

brainerd-robinson-similarity-coefficient-and-sampling-error-assessment

Script for calculating Brainerd-Robinson coefficients based on tabular count or percent data. This script also estimates the probability that a given difference between two samples is the product of sampling error.

caa-bid

Proposal for a SIG bid at the AGM CAA Oxford

ceramic-frequency-date-plot

This R script produces a exploratory visual for assessing site date ranges originally suggested to me by Wesley Bernardini (Redlands University). The plot consits of horizontal bars on an x-axis reprenting time with the width determined based on the production span for that type and with the height of each box determined based on the relative frequency of that type with types sorted vertically by start date. The script reads in csv files in the formatted of the example dataset here and produces a pdf containing results for each site.

ceramicapportioning

This is an R implementation of the procedure outlined by John M. Roberts, Jr. et al. (2012) "A method for chronologically apportioning of ceramic assemblages" published in the Journal of Archaeological Science

criticalscales

R code and Data Compendium associated with Peeples and Bischoff: Archaeological Networks, Community Detection, and Critical Scales of Interaction in the U.S. Southwest/Mexican Northwest

dogoszhi_americanantiquity

ford-diagram

This R Function creates a simple Ford diagram for archaeological seriation with error bars determined based on sample size where count data are given.

friction_surface_hill_et_al_2015

Implements the friction surface used to create cost-buffers around sets of spatial points based on the caloric cost of travel. See Hill et al. 2015 in Advances in Archaeological Practice for more.

geocompr

Open source book: Geocomputation with R

giomi-and-peeples-2019

R Code associated with Giomi and Peeples (2019) in Journal for Anthropological Archaeology

huhugampotteryshiny

kmeans

Script for conducting K-means cluster analysis using R. This script provides output designed to help the user select an appropriate cluster solution.

leiap_survey

lidar_test

Just learning how to work with LiDAR data in R

mean-ceramic-date-and-error-estimation

Script for calculating mean ceramic dates based on tabular data. This script also estimates sampling error using a bootstrapping procedure.

measuring-archaeological-diversity-by-comparing-to-simulated-assemblages

This is an R script that replicates the analyses presented in : Kintigh, K. 1984. Measuring Archaeological Diversity by Comparison with Simulated Assemblages. American Antiquity 49: 44-54.

naa_analytical_dashboard

Analytical Dashboard for conducting various analysis to group and assess groupings for Neutron Activation Analytical chemical compositional data

netintro

Network Intro Workshop

ownby_et_al_2014

Code associated with Ownby et al. (2014) Journal of Archaeological Science article

peeples-and-haas-2013

R Code and Data from Peeples and Haas (2013) American Anthropologist article

peeples_et_al_2016

R Code associated with the Peeples et al. (2016) chapter in the Connected Past book, Oxford University Press

poppersistencefigs

Figures associated with work associated with population persistence analysis

poppersistencefigures

saa2021_networkbreaks