Gerard Heuvelink
Gerard Heuvelink
Special Professor, Wageningen University and Senior Researcher, ISRIC World Soil Information
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Cited by
Cited by
SoilGrids250m: Global gridded soil information based on machine learning
T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ...
PLoS one 12 (2), e0169748, 2017
A generic framework for spatial prediction of soil variables based on regression-kriging
T Hengl, GBM Heuvelink, A Stein
Geoderma 120 (1-2), 75-93, 2004
SoilGrids1km—global soil information based on automated mapping
T Hengl, JM De Jesus, RA MacMillan, NH Batjes, GBM Heuvelink, ...
PloS one 9 (8), e105992, 2014
About regression-kriging: From equations to case studies
T Hengl, GBM Heuvelink, DG Rossiter
Computers & geosciences 33 (10), 1301-1315, 2007
Error propagation in environmental modelling with GIS
GBM Heuvelink
CRC press, 1998
Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions
T Hengl, GBM Heuvelink, B Kempen, JGB Leenaars, MG Walsh, ...
PloS one 10 (6), e0125814, 2015
Spatio-temporal interpolation using gstat.
B Gräler, EJ Pebesma, GBM Heuvelink
R J. 8 (1), 204, 2016
SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
L Poggio, LM De Sousa, NH Batjes, GBM Heuvelink, B Kempen, ...
Soil 7 (1), 217-240, 2021
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler
PeerJ 6, e5518, 2018
An integrated pan‐tropical biomass map using multiple reference datasets
V Avitabile, M Herold, GBM Heuvelink, SL Lewis, OL Phillips, GP Asner, ...
Global change biology 22 (4), 1406-1420, 2016
Modelling soil variation: past, present, and future
GBM Heuvelink, R Webster
Geoderma 100 (3-4), 269-301, 2001
Propagation of errors in spatial modelling with GIS
GBM Heuvelink, PA Burrough, A Stein
International Journal of Geographical Information System 3 (4), 303-322, 1989
Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network
PH Hiemstra, EJ Pebesma, CJW Twenhöfel, GBM Heuvelink
Computers & Geosciences 35 (8), 1711-1721, 2009
Optimization of sample patterns for universal kriging of environmental variables
DJ Brus, GBM Heuvelink
Geoderma 138 (1-2), 86-95, 2007
Sampling for validation of digital soil maps
DJ Brus, B Kempen, GBM Heuvelink
European Journal of Soil Science 62 (3), 394-407, 2011
GlobalSoilMap: Toward a fine-resolution global grid of soil properties
D Arrouays, MG Grundy, AE Hartemink, JW Hempel, GBM Heuvelink, ...
Advances in agronomy 125, 93-134, 2014
DEM resolution effects on shallow landslide hazard and soil redistribution modelling
L Claessens, GBM Heuvelink, JM Schoorl, A Veldkamp
Earth Surface Processes and Landforms: The Journal of the British …, 2005
Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images
T Hengl, GBM Heuvelink, M Perčec Tadić, EJ Pebesma
Theoretical and applied climatology 107, 265-277, 2012
Updating the 1: 50,000 Dutch soil map using legacy soil data: A multinomial logistic regression approach
B Kempen, DJ Brus, GBM Heuvelink, JJ Stoorvogel
Geoderma 151 (3-4), 311-326, 2009
Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
T Hengl, JGB Leenaars, KD Shepherd, MG Walsh, GBM Heuvelink, ...
Nutrient Cycling in Agroecosystems 109, 77-102, 2017
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