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| Prediktív lelőhelylokalizáció× | Space Syntax× | |
|---|---|---|
| Tudományterület | Régészet | Régészet |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 2006 | 1984 |
| Megalkotó≠ | Steven Phillips | Bill Hillier |
| Típus≠ | Site probability modeling | Architectural analysis |
| Alapmű≠ | Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗ | Hillier, B., & Hanson, J. (1984). The Social Logic of Space. Cambridge University Press. DOI ↗ |
| Alternatív nevek | predictive modeling, maxent modeling | spatial analysis, accessibility analysis |
| Kapcsolódó | 2 | 2 |
| Összefoglaló≠ | 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. |
| ScholarGateAdatkészlet ↗ |
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