Methodology of physiography zoning using machine learning: A case study of the Black Sea

Received 19 February 2020; accepted 13 March 2020; published 22 March 2020.

Keywords: Spatial zoning; Machine learning; $k$-means clustering; Black Sea; Physiography zoning, GIS, clustering methodology

 
  Free Download:     Full Paper:   [PDF]   [HTML]   Formatted for e-Book:  [PDF]   [EPUB]
 

 
Citation: Krivoguz Denis (2020), Methodology of physiography zoning using machine learning: A case study of the Black Sea, Russ. J. Earth Sci., 20, ES2003, doi:10.2205/2020ES000707.
 

Copyright 2020 by the Geophysical Center RAS.