Comparar métodos

	Localização Preditiva de Sítios	Space Syntax
Área	Arqueologia	Arqueologia
Família	Process / pipeline	Process / pipeline
Ano de origem	2006	1984
Autor original	Steven Phillips	Bill Hillier
Tipo	Site probability modeling	Architectural analysis
Fonte seminal	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.
Outros nomes	predictive modeling, maxent modeling	spatial analysis, accessibility analysis
Relacionados	2	2
Resumo	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.