A note on knowledge discovery and machine learning in digital soil mapping

Pedology and digital soil mapping (DSM)

(2019) Yuxin Ma et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Sampling design optimization for soil mapping with random forest

(2019) Alexandre M.J-C. Wadoux et al.   GEODERMA

Spatial modelling with Euclidean distance fields and machine learning

(2018) T. Behrens et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics

(2017) Yoan Fourcade et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Science and data science

(2017) David M. Blei et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

SoilGrids250m: Global gridded soil information based on machine learning

(2017) Tomislav Hengl et al.   PLoS One

Predicting regolith thickness in the complex weathering setting of the central Mt Lofty Ranges, South Australia

(2013) J. Wilford et al.   GEODERMA

To Explain or to Predict?

(2011) Galit Shmueli   STATISTICAL SCIENCE

Digital mapping of soil organic matter stocks using Random Forest modeling in a semi-arid steppe ecosystem

(2010) Martin Wiesmeier et al.   PLANT AND SOIL