পদ্ধতির তুলনা করুন

	ভবিষ্যদ্বাণীমূলক স্থান নির্ধারণ	Space Syntax
ক্ষেত্র	প্রত্নতত্ত্ব	প্রত্নতত্ত্ব
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	2006	1984
প্রবর্তক	Steven Phillips	Bill Hillier
ধরন	Site probability modeling	Architectural analysis
মৌলিক উৎস	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.
অপর নাম	predictive modeling, maxent modeling	spatial analysis, accessibility analysis
সম্পর্কিত	2	2
সারসংক্ষেপ	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.