Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran

Authors

• Zeraatpisheh, Mojtaba
• Ayoubi, Shamsollah
• Jafari, Azam
• Finke, Peter

Publication Date

Jan 01, 2017

Identifiers

DOI: 10.1016/j.geomorph.2017.02.015

OAI: oai:archive.ugent.be:8512005

Source

Ghent University Institutional Archive

Keywords

• Earth And Environmental Sciences
• Digital Soil Mapping
• Conventional Soil Mapping
• Map Purity
• Modelling Efficiency
• Multinomial Logistic Regression
• Random Forest
• Random Forests
• Classification
• Information
• Maps
• Vegetation
• Landscapes
• Knowledge
• Selection
• Stocks
• Valley

Language

English

License

Unknown

External links

• Full record on biblio.ugent.be
  
• Full record on biblio.ugent.be