Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
Emmanuel John M. Carranza(University of the Free State), Alice G. Laborte(International Rice Research Institute)
Cited by 379
Related Papers
Multi- and hyperspectral geologic remote sensing: A review
|International Journal of Applied Earth Observation and Geoinformation|2011|1.1k
Multi - and hyperspectral geologic remote sensing : a review
|ResearchOnline at James Cook University (James Cook University)|2011|812
Arsenic geochemistry and health
|Environment International|2004|582
Support vector machine: A tool for mapping mineral prospectivity
|Computers & Geosciences|2010|510
Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)
|Remote Sensing of Environment|2007|438