Comparer des méthodes

	Localisation prédictive de sites	Space Syntax
Domaine	Archéologie	Archéologie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2006	1984
Auteur d'origine	Steven Phillips	Bill Hillier
Type	Site probability modeling	Architectural analysis
Source fondatrice	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.
Alias	predictive modeling, maxent modeling	spatial analysis, accessibility analysis
Apparentées	2	2
Résumé	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.