Predicting Cork Oak Suitability in Maâmora Forest Using Random Forest Algorithm

Lahssini, Said;Lahlaoi, Hicham;Mharzi Alaoui, Hicham;Bagaram, Martino;Ponette, Quentin
(2015) Journal of Geographic Information System — n° 7, p. 202-210 (2015)

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Authors
  • Lahssini, SaidNational School of Forestry Engineering, Salé, Morocco
    Author
  • Lahlaoi, HichamFaculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
    Author
  • Mharzi Alaoui, HichamInstitute of Agronomy and Veterinary Hassan II, Rabat, Morocco
    Author
  • Bagaram, MartinoNational School of Forestry Engineering, Salé, Morocco
    Author
  • Ponette, QuentinUCLouvain
    Author
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Lahssini, S., Lahlaoi, H., Mharzi Alaoui, H., Bagaram, M., & Ponette, Q. (2015). Predicting Cork Oak Suitability in Maâmora Forest Using Random Forest Algorithm. Journal of Geographic Information System, 7, 202-210. https://doi.org/10.4236/JGIS.2015.72017 (Original work published 2015)