Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise de visibilidade× | Localização Preditiva de Sítios× | |
|---|---|---|
| Área | Arqueologia | Arqueologia |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1995 | 2006 |
| Autor original≠ | David Wheatley | Steven Phillips |
| Tipo≠ | Landscape-scale analysis | Site probability modeling |
| Fonte seminal≠ | 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 ↗ | 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 ↗ |
| Outros nomes | visibility analysis, landscape archaeology | predictive modeling, maxent modeling |
| Relacionados | 2 | 2 |
| Resumo≠ | 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. | 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. |
| ScholarGateConjunto de dados ↗ |
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