Comparing the prediction performance, uncertainty quantification and extrapolation potential of regression kriging and random forest while accounting for soil measurement errors

Spatial statistics and soil mapping: A blossoming partnership under pressure

(2022) Gerard B.M. Heuvelink et al.   Spatial Statistics

Accounting for analytical and proximal soil sensing errors in digital soil mapping

(2022) Bertin Takoutsing et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Dealing with clustered samples for assessing map accuracy by cross-validation

(2022) Sytze de Bruin et al.   Ecological Informatics

A random forest-based algorithm for data-intensive spatial interpolation in crop yield mapping

(2021) Córdoba Mariano et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning

(2021) Tomislav Hengl et al.   Scientific Reports

Statistical modelling of measurement error in wet chemistry soil data

(2021) Cynthia C.E. Leeuwen et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Performance of linear mixed models and random forests for spatial prediction of soil pH

(2021) Mirriam Makungwe et al.   GEODERMA

Predicting into unknown space? Estimating the area of applicability of spatial prediction models

(2021) Hanna Meyer et al.   Methods in Ecology and Evolution

Digital mapping of soil classes using spatial extrapolation with imbalanced data

(2021) Mehrnaz Neyestani et al.   Geoderma Regional

Spatial cross-validation is not the right way to evaluate map accuracy

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

Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics

(2021) Gábor Szatmári et al.   GEODERMA

Measurement error-filtered machine learning in digital soil mapping

(2021) Stephan van der Westhuizen et al.   Spatial Statistics

Digital soil mapping and GlobalSoilMap. Main advances and ways forward

(2020) Dominique Arrouays et al.   Geoderma Regional

Extrapolation of a structural equation model for digital soil mapping

(2020) M.E. Angelini et al.   GEODERMA

Comparing spatial regression to random forests for large environmental data sets

(2020) Eric W. Fox et al.   PLoS One

Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps

(2020) Tianwu Ma et al.   GEODERMA

Modelling and mapping soil organic carbon stocks in Brazil

(2019) Lucas Carvalho Gomes et al.   GEODERMA

Estimating the algorithmic variance of randomized ensembles via the bootstrap

(2019) Miles E. Lopes   ANNALS OF STATISTICS

Mapping soil organic matter contents at field level with Cubist, Random Forest and kriging

(2019) Nastaran Pouladi et al.   GEODERMA

Comparison between geostatistical and machine learning models as predictors of topsoil organic carbon with a focus on local uncertainty estimation

(2019) Fabio Veronesi et al.   ECOLOGICAL INDICATORS

Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review

(2019) Sushil Lamichhane et al.   GEODERMA

Using deep learning for multivariate mapping of soil with quantified uncertainty

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

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

Sampling design optimization for soil mapping with random forest

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

Spatio-temporal assessment of topsoil organic carbon stock change in Hungary

(2019) Gábor Szatmári et al.   SOIL & TILLAGE RESEARCH

Regression kriging as a workhorse in the digital soil mapper's toolbox

(2018) H. Keskin et al.   GEODERMA

Accounting for non-stationary variance in geostatistical mapping of soil properties

(2018) Alexandre M.J-C. Wadoux et al.   GEODERMA

Accounting for access costs in validation of soil maps: A comparison of design-based sampling strategies

(2018) Lin Yang et al.   GEODERMA

An assessment of the variation of soil properties with landscape attributes in the highlands of Cameroon

(2018) Bertin Takoutsing et al.   LAND DEGRADATION & DEVELOPMENT

Accounting for the measurement error of spectroscopically inferred soil carbon data for improved precision of spatial predictions

(2018) P.D.S.N. Somarathna et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)

(2018) Kpade O. L. Hounkpatin et al.   Scientific Reports

Geographically Weighted Area-to-Point Regression Kriging for Spatial Downscaling in Remote Sensing

(2018) Yan Jin et al.   Remote Sensing

Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms

(2018) Gábor Szatmári et al.   GEODERMA

Inside or Outside: Quantifying Extrapolation Across River Networks

(2018) Douglas J. Booker et al.   WATER RESOURCES RESEARCH

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

(2018) Tomislav Hengl et al.   PeerJ

The anatomy of uncertainty for soil pH measurements and predictions―implications for modellers and practitioners

(2018) Z. Libohova et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Using quantile regression forest to estimate uncertainty of digital soil mapping products

(2017) Kévin Vaysse et al.   GEODERMA

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

A recurrent neural network for classification of unevenly sampled variable stars

(2017) Brett Naul et al.   Nature Astronomy

High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models

(2017) Gerald Forkuor et al.   PLoS One

Spatial variability of selected physico-chemical properties of soils under vegetable cultivation in urban and peri-urban wetland gardens of Bamenda municipality, Cameroon

(2016) A ASONGWE Godswill et al.   African Journal of Agricultural Research

Evaluating the utility of mid-infrared spectral subspaces for predicting soil properties

(2016) Andrew M. Sila et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Mapping topsoil physical properties at European scale using the LUCAS database

(2016) Cristiano Ballabio et al.   GEODERMA

A random forest guided tour

(2016) Gérard Biau et al.   TEST

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

(2015) Tomislav Hengl et al.   PLoS One

Estimating mutual information for feature selection in the presence of label noise

(2013) Benoît Frénay et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Hyper-scale digital soil mapping and soil formation analysis

(2013) Thorsten Behrens et al.   GEODERMA

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Quality measures for soil surveys by lognormal kriging

(2012) R.M. Lark et al.   GEODERMA

Composite Likelihood Bayesian Information Criteria for Model Selection in High-Dimensional Data

(2011) Xin Gao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A study of the effect of different types of noise on the precision of supervised learning techniques

(2010) David F. Nettleton et al.   ARTIFICIAL INTELLIGENCE REVIEW

Empirical estimates of uncertainty for mapping continuous depth functions of soil attributes

(2010) B.P. Malone et al.   GEODERMA

Digital Soil Map of the World

(2009) P. A. Sanchez et al.   SCIENCE