Papers: 10.1371/journal.pone.0125814
https://doi.org/10.1371/journal.pone.0125814
Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
Cited by: 548
Author(s): Tomislav Hengl, G.B.M. Heuvelink, J.G.B. Leenaars, Markus Walsh, Keith D. Shepherd, Andrew Sila, R.A. MacMillan, Jorge Mendes de Jesus, Lulseged Tamene, Jérôme E. Tondoh
Published: about 10 years ago
Software Mentions 4
cran: gstat
Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and SimulationPapers that mentioned: 138
Very Likely Science (100)
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and RegressionPapers that mentioned: 1,447
Very Likely Science (100)
Very Likely Science (90)