Sammenlign metoder

	Prædiktiv Lokalisering af Fundsteder	Space Syntax
Fagområde	Arkæologi	Arkæologi
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	2006	1984
Ophavsperson	Steven Phillips	Bill Hillier
Type	Site probability modeling	Architectural analysis
Oprindelig kilde	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.
Aliasser	predictive modeling, maxent modeling	spatial analysis, accessibility analysis
Relaterede	2	2
Resumé	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.