WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Gerard Heuvelink
PeerJ Author & Reviewer
355 Points

Contributions by role

Author 235
Preprint Author 105
Reviewer 15

Contributions by subject area

Ecohydrology
Spatial and Geographic Information Science
Biogeography
Soil Science
Computational Science
Data Mining and Machine Learning
Forestry

Gerard B.M. Heuvelink

PeerJ Author & Reviewer

Summary

Gerard Heuvelink holds an MSc in Applied Mathematics and a PhD in Environmental Sciences. His PhD research on error propagation in spatial modelling with GIS marks the start of a scientific career in spatial uncertainty analysis, with applications in the soil domain as a main focus. Gerard has also contributed substantially to the development of pedometrics, which is the part of soil science that uses mathematical and statistical methods for the study of the distribution and genesis of soils. He received the Richard Webster medal for the best body of work that advanced pedometrics in 2014 and chaired the Organising Committee of the 25-th anniversary Pedometrics Conference in Wageningen in 2017. Gerard is associate editor of the European Journal of Soil Science and editorial board member of Geoderma, Spatial Statistics, Journal of Integrative Agriculture and three more ISI journals. Gerard works for ISRIC - World Soil Information and the Soil Geography and Landscape group of Wageningen University. He was appointed special professor in Pedometrics and Digital Soil Mapping at Wageningen University in 2017. He is also a visiting professor of the Chinese Academy of Sciences.

Soil Science Spatial & Geographic Information Science Statistics

Past or current institution affiliations

Wageningen Agricultural University

Work details

Senior researcher

ISRIC - World Soil Information
September 2011

Special professor Pedometrics and Digital Soil Mapping

Wageningen University
Soil Geography and Landscape group

PeerJ Contributions

  • Articles 2
  • Preprints 1
July 30, 2020
Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration
Alexandre M.J.-C. Wadoux, Gerard B.M. Heuvelink, Remko Uijlenhoet, Sytze de Bruin
https://doi.org/10.7717/peerj.9558 PubMed 32821535
August 29, 2018
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
Tomislav Hengl, Madlene Nussbaum, Marvin N. Wright, Gerard B.M. Heuvelink, Benedikt Gräler
https://doi.org/10.7717/peerj.5518 PubMed 30186691
August 6, 2018 - Version: 3
Random Forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
Tomislav Hengl, Madlene Nussbaum, Marvin N Wright, Gerard B.M. Heuvelink, Benedikt Gräler
https://doi.org/10.7287/peerj.preprints.26693v3