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Probabilistic decomposition of archaeological palimpsests using Stratigraphic Entanglement Fields.
# install.packages("remotes")
remotes::install_github("enzococca/palimpsestr")palimpsestr models each archaeological find as a probabilistic member of latent depositional phases by integrating spatial proximity, stratigraphic depth, chronological overlap, and cultural similarity via diagonal Gaussian mixture EM.
Three statistics quantify the deposit:
library(palimpsestr)
# Simulate a 3-phase deposit with 30% mixing
x <- archaeo_sim(n = 200, k = 3, mixing = 0.30, seed = 42)
# Fit the SEF model
fit <- fit_sef(x, k = 3, context = "context")
print(fit)
summary(fit)
# Visualisation (base R)
plot_phasefield(fit)
plot_entropy(fit)
# ggplot2 equivalents (requires ggplot2)
gg_phasefield(fit)
gg_entropy(fit)
gg_energy(fit)
gg_intrusions(fit)
# Intrusion detection
detect_intrusions(fit)
# Compare multiple K values
compare_k(x, k_values = 2:6, context = "context")data(demo_easy) # 3 phases, 5% mixing
data(demo_moderate) # 3 phases, 30% mixing
data(demo_compressed) # 4 phases, 50% mixing
data(villa_romana) # Real data: Poggio Gramignano (VRPG 3004)bootstrap_sef())cv_sef(), optimize_weights())as_sf_phase(),
as_sf_links())gg_map())report_sef())read_db())MIT
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