Advanced search
1 file | 7.52 MB

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

(2017) GEOMORPHOLOGY. 285. p.186-204
Author
Organization
Keywords
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

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 7.52 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Zeraatpisheh, Mojtaba, Shamsollah Ayoubi, Azam Jafari, and Peter Finke. 2017. “Comparing the Efficiency of Digital and Conventional Soil Mapping to Predict Soil Types in a Semi-arid Region in Iran.” Geomorphology 285: 186–204.
APA
Zeraatpisheh, M., Ayoubi, S., Jafari, A., & Finke, P. (2017). Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran. GEOMORPHOLOGY, 285, 186–204.
Vancouver
1.
Zeraatpisheh M, Ayoubi S, Jafari A, Finke P. Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran. GEOMORPHOLOGY. 2017;285:186–204.
MLA
Zeraatpisheh, Mojtaba, Shamsollah Ayoubi, Azam Jafari, et al. “Comparing the Efficiency of Digital and Conventional Soil Mapping to Predict Soil Types in a Semi-arid Region in Iran.” GEOMORPHOLOGY 285 (2017): 186–204. Print.
@article{8512005,
  author       = {Zeraatpisheh, Mojtaba and Ayoubi, Shamsollah and Jafari, Azam and Finke, Peter},
  issn         = {0169-555X},
  journal      = {GEOMORPHOLOGY},
  keyword      = {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     = {eng},
  pages        = {186--204},
  title        = {Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran},
  url          = {http://dx.doi.org/10.1016/j.geomorph.2017.02.015},
  volume       = {285},
  year         = {2017},
}

Altmetric
View in Altmetric
Web of Science
Times cited: