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| Prädiktive Standortmodellierung× | Viewshed-Analyse× | |
|---|---|---|
| Fachgebiet | Archäologie | Archäologie |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2006 | 1995 |
| Urheber≠ | Steven Phillips | David Wheatley |
| Typ≠ | Site probability modeling | Landscape-scale analysis |
| Wegweisende Quelle≠ | 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 ↗ | Wheatley, D. (1995). Cumulative viewshed analysis: a GIS-based method for investigating intervisibility, and its archaeological application. In G. R. Lock & Z. Stancic (Eds.), Archaeology and GIS (pp. 171-185). link ↗ |
| Aliasnamen | predictive modeling, maxent modeling | visibility analysis, landscape archaeology |
| Verwandt | 2 | 2 |
| Zusammenfassung≠ | 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. | Viewshed analysis examines what is visible from specific locations or within a defined area using digital elevation models (DEMs) and geographic information systems (GIS). Pioneered by David Wheatley in the 1990s, the method reveals how landscape features (hilltops, valleys, water sources) controlled visibility and movement. Archaeologists use viewshed analysis to understand settlement placement, ritual monument visibility, and territorial organization in prehistoric and historic landscapes. |
| ScholarGateDatensatz ↗ |
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