Porovnat metody

	Prediktivní lokalizace nalezišť	Space Syntax
Obor	Archeologie	Archeologie
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	2006	1984
Tvůrce	Steven Phillips	Bill Hillier
Typ	Site probability modeling	Architectural analysis
Původní zdroj	Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259.	Hillier, B., & Hanson, J. (1984). The Social Logic of Space. Cambridge University Press.
Další názvy	predictive modeling, maxent modeling	spatial analysis, accessibility analysis
Příbuzné	2	2
Shrnutí	Predictive site location modeling uses machine learning algorithms (particularly maximum entropy models) to predict the probability of archaeological site occurrence across a landscape based on environmental and spatial variables. Developed for ecology but adapted for archaeology, predictive modeling identifies areas with high archaeological potential, guiding survey strategies and resource management.	Space syntax is a quantitative method that analyzes the spatial configuration of buildings and settlements to understand social organization and movement patterns. Developed by Bill Hillier and Julienne Hanson in the 1980s, space syntax measures how open or segregated spaces are, and how these properties relate to social behavior and cultural values. The method reveals distinctions between public and private spaces, movement corridors, and the degree of accessibility within architectural layouts.