Comparar métodos

	Harris Matrix	Bayesian Chronological Modeling
Campo	Arqueología	Arqueología
Familia	Process / pipeline	Regression model
Año de origen	1973	2009
Autor original	Edward C. Harris (with the Winchester excavation team)	Christopher Bronk Ramsey (OxCal); Caitlin Buck and colleagues (Bayesian framework)
Tipo	Stratigraphic recording and sequence-diagramming pipeline	Bayesian statistical model combining dates with prior archaeological information
Fuente seminal	Harris, E. C. (1989). Principles of Archaeological Stratigraphy (2nd ed.). Academic Press. ISBN: 9780123266514	Bronk Ramsey, C. (2009). Bayesian Analysis of Radiocarbon Dates. Radiocarbon, 51(1), 337-360.
Alias	Stratigraphic Sequence Diagram, Harris-Winchester Matrix, Single-Context Recording, Context Sequence Diagram	Bayesian Radiocarbon Modeling, OxCal Bayesian Chronology, Bayesian Phase Modeling, Chronological Bayesian Modeling
Relacionados	2	3
Resumen	The Harris matrix is a method for recording and diagramming the stratigraphic sequence of an archaeological site as a partial-order diagram of individually defined contexts. Devised by Edward C. Harris at the Winchester excavations in 1973 and codified in his Principles of Archaeological Stratigraphy, it treats every deposit, cut, and interface as a separate stratigraphic unit and reduces the tangle of physical relationships among them to a minimal directed acyclic graph that expresses only relative temporal order. By distinguishing physical superposition from temporal sequence and stripping away redundant relationships through transitive reduction, the matrix turns the three-dimensional complexity of a dig into a single, auditable diagram. It is the structural backbone of single-context recording and the standard interface between excavation and chronological modeling.	Bayesian chronological modeling refines archaeological chronologies by combining the calibrated probability distributions of individual radiocarbon dates with prior archaeological knowledge — most importantly the stratigraphic order of samples and their grouping into phases — within a single Bayesian model. Rather than treating each date in isolation, the method asks what calendar ages are jointly consistent with all the dates and all the ordering constraints at once, and returns sharpened posterior distributions for each date plus estimates of the start, end, and duration of phases and the timing of events. Formalized by Caitlin Buck and colleagues and made widely usable through Christopher Bronk Ramsey's OxCal software, with the international IntCal calibration curve as input, it has become the standard framework for high-precision archaeological dating.