方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 预测性选址× | 视域分析× | |
|---|---|---|
| 领域 | 考古学 | 考古学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2006 | 1995 |
| 提出者≠ | Steven Phillips | David Wheatley |
| 类型≠ | Site probability modeling | Landscape-scale analysis |
| 开创性文献≠ | 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 ↗ |
| 别名 | predictive modeling, maxent modeling | visibility analysis, landscape archaeology |
| 相关 | 2 | 2 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|