Cargando…
Bayesian regression versus machine learning for rapid age estimation of archaeological features identified with lidar at Angkor
Lidar (light-detection and ranging) has revolutionized archaeology. We are now able to produce high-resolution maps of archaeological surface features over vast areas, allowing us to see ancient land-use and anthropogenic landscape modification at previously un-imagined scales. In the tropics, this...
Autores principales: | Carleton, W. Christopher, Klassen, Sarah, Niles-Weed, Jonathan, Evans, Damian, Roberts, Patrick, Groucutt, Huw S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589302/ https://www.ncbi.nlm.nih.gov/pubmed/37864037 http://dx.doi.org/10.1038/s41598-023-44875-0 |
Ejemplares similares
-
Semi-supervised machine learning approaches for predicting the chronology of archaeological sites: A case study of temples from medieval Angkor, Cambodia
por: Klassen, Sarah, et al.
Publicado: (2018) -
Diachronic modeling of the population within the medieval Greater Angkor Region settlement complex
por: Klassen, Sarah, et al.
Publicado: (2021) -
Provisioning an Early City: Spatial Equilibrium in the Agricultural Economy at Angkor, Cambodia
por: Klassen, Sarah, et al.
Publicado: (2021) -
Angkor : un peuple - un art /
por: Giteau, Madeleine
Publicado: (1976) -
The demise of Angkor: Systemic vulnerability of urban infrastructure to climatic variations
por: Penny, Dan, et al.
Publicado: (2018)