Beyond prediction: methods for interpreting complex models of soil variation

Testing conditional independence in supervised learning algorithms

(2021) David S. Watson et al.   MACHINE LEARNING

An integrated approach for the evaluation of quantitative soil maps through Taylor and solar diagrams

(2021) Alexandre M.J-C. Wadoux et al.   GEODERMA

Ten challenges for the future of pedometrics

(2021) Alexandre M.J.-C. Wadoux et al.   GEODERMA

Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance

(2021) Giles Hooker et al.   STATISTICS AND COMPUTING

Machine learning in space and time for modelling soil organic carbon change

(2020) G. B. M. Heuvelink et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Visualizing the effects of predictor variables in black box supervised learning models

(2020) Daniel W. Apley et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Factors controlling the variation in organic carbon stocks in agricultural soils of Germany

(2019) C. Vos et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Spatial distribution of soil nematodes relates to soil organic matter and life strategy

(2019) Casper W. Quist et al.   SOIL BIOLOGY & BIOCHEMISTRY

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

(2019) Alexandre M. J.-C. Wadoux et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Prediction of soil organic matter using multi-temporal satellite images in the Songnen Plain, China

(2019) Xin Dou et al.   GEODERMA

Predicting soil aggregate stability using readily available soil properties and machine learning techniques

(2019) Javier I. Rivera et al.   CATENA

LUCAS Soil, the largest expandable soil dataset for Europe: a review

(2017) A. Orgiazzi et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

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

Distribution-Free Predictive Inference for Regression

(2017) Jing Lei et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Construction of Membership Functions for Soil Mapping using the Partial Dependence of Soil on Environmental Covariates Calculated by Random Forest

(2017) Canying Zeng et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Mapping of soil properties and land degradation risk in Africa using MODIS reflectance

(2016) Tor-G. Vågen et al.   GEODERMA

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A high resolution map of French soil organic carbon

(2012) Jeroen Meersmans et al.   Agronomy for Sustainable Development

Predictive learning via rule ensembles

(2008) Jerome H. Friedman et al.   Annals of Applied Statistics

Explaining Classifications For Individual Instances

(2008) M. Robnik-Sikonja et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING