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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Utabiri wa Mahali pa Tovuti×Uchanganuzi wa Eneo Linaloonekana×
NyanjaAkiolojiaAkiolojia
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili20061995
MwanzilishiSteven PhillipsDavid Wheatley
AinaSite probability modelingLandscape-scale analysis
Chanzo asiliaPhillips, 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 ↗
Majina mbadalapredictive modeling, maxent modelingvisibility analysis, landscape archaeology
Zinazohusiana22
MuhtasariPredictive 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.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Predictive Site Location · Viewshed Analysis. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare