Best Paper in Pedometrics

1992 – Tang, H., Van Ranst, E., 1992. Testing of fuzzy set theory in land suitability assessment for rainfed maize production. Pedologie 17, 129-147

1993 – Rasiah, V., Kay, B.D., Perfect, E., 1993. New mass-based model for estimating fractal dimensions of aggregates. Soil Science Society of America Journal 57, 891-895.

1994 – Bierkens, M.F.P., Weerts, H.J.T., 1994. Application of indicator simulation to modelling the lithological properties of a complex layer. Geoderma 62, 265-284

1995 – Papritz, A., Webster, R., 1995. Estimating temporal change in soil monitoring : I Statistical theory. European Journal of Soil Science 46, 1-12.

1996 – Brus, D.J., De Gruijter, J.J., Marsman, B.A., Visschers, R., Bregt, A.K., Breeuwsma, A., Bouma, J., 1996. The performance of spatial interpolation methods and chropleth maps to estimate properties at points: A soil survey case study. Environmetrics 7, 1-16.

1997 – De Gruijter, J.J., Walvoort, D.J.J.,d Van Gans, P.F.M.,, 1997. Continuous soil maps – a fuzzy set approach to bridge the gap between aggregation levels of process and distribution models. Geoderma 77, 169-195.

1998 – Boucneau, G., Van Meirvenne M., Thas, O., Hofman, G., 1998. Integrating properties of soil map delineations into ordinary kriging. European Journal of Soil Science 49, 213-229.

1999 – Lark, R.M., Webster, R., 1999. Analysis and elucidation of soil variation using wavelets. European Journal of Soil Science 50, 185-206

2000 – Goovaerts, P., 2000. Estimation or simulation of soil properties? An optimization problem with conflicting criteria. Geoderma 3-4, 165-186.

2001 – Minasny, B. and McBratney, A.B., 2001. A rudimentary mechanistic model for soil production and landscape development II. A two-dimensional model incorporating chemical weathering. Geoderma 103, 161-179.

2002 – Bogaert, P., D’Or, D., 2002. Estimating soil properties from thematic maps: The Bayesian Maximum Entropy approach. Soil Science Society of America Journal 66, 1492-1500

2003 – Walter,C., R.A. Viscarra Rossel and A.B. McBratney, 2003. Spatio-temporal simulation of the field-scale evolution of organic carbon over the landscape. Soil Sci. Soc. Am. J. 67, 1477–1486.

2004 – Finke, P.A., D.J. Brus, M.F.P. Bierkens, T. Hoogland, M. Knotters and F. de Vries, 2004. Mapping groundwater dynamics using multiple sources of exhaustive high resolution data. Geoderma 123, 23–39.

2005 –   Savelieva, E., Demyanov, V., Kanevski, M., Serre, M., Christakos, G., 2005. BME-based uncertainty assessment of the Chernobyl fallout. Geoderma, 128(3), pp.312-324.

2006 – Heuvelink G.B.M., Schoorl J.M., Veldkamp A., Pennock D.J. Space-time Kalman filtering of soil redistribution. Geoderma 133, 124-137.

2007 – Viscarra Rossel, R.A., Taylor, H.J. & McBratney, A.B., 2007. Multivariate calibration of hyperspectral gamma-ray energy spectra for proximal soil sensing. European Journal of Soil Science 58, 343–353.

2008 – Grinand, C., Arrouays, D., Laroche, B. and Martin, M.P., 2008. Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context. Geoderma 143(1-2), 180–190.

2009 – Marchant, B.P. , S. Newman, R. Corstanje, K.R. Reddy, T.Z. Osborne & R.M. Lark. 2009. Spatial monitoring of a non-stationary soil property: Phosphorus in a Florida water conservation area. European Journal of Soil Science 60, 757– 769.

2010 – Marchant, B.P., Saby, N.P.A., Lark, R.M., Bellamy, P.H., Jolivet, C.C., Arrouays, D., 2010. Robust analysis of soil properties at the national scale: cadmium content of French soils. European Journal of Soil Science, 61(1), pp.144-152.

2011 – D.J. Brus and J.J. de Gruijter: Design-based Generalized Least Squares estimation of status and trend of soil properties from monitoring data. Geoderma164,172–180.

2012 – R.M. Lark: Towards soil geostatistics. Spatial Statistics 1,92–98

2013 –  Mulder, V.L., Plötze, M., de Bruin, S., Schaepman, M.E., Mavris, C., Kokaly, R.F., Egli, M., 2013. Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1–2.4 μm) and regression tree analysis. Geoderma 207–208, 279–290.

2014 –  Odgers, N. P., Sun, W., McBratney, A. B., Minasny, B., Clifford, D., 2014. Disaggregating and harmonising soil map units through resampled classification trees. Geoderma, 214, 91-100.

2015 –  Orton, T.G., Pringle, M.J., Bishop, T.F.A., 2016. A one-step approach for modelling and mapping soil properties based on profile data sampled over varying depth intervals. Geoderma, 262, 174–186.

2016 – Viscarra Rossel, R.A., T. Behrens et al., 2016. A global spectral library to characterize the world’s soil. Earth-Science Reviews 155, 198–230.

2016 – Poggio, L., Gimona, A., Spezia, L., & Brewer, M.J,. 2016. Bayesian spatial modelling of soil properties and their uncertainty: The example of soil organic matter in Scotland using R-INLA. Geoderma, 277, 69–82.

2017 – 

2018 – 

2019 – Chen, S, Mulder VL, Martin MP, Walter C, Lacoste M, Richer-de Forges AC, Saby NPA, Loiseau T, Hu B, Arrouays D. 2019. Probability mapping of soil thickness by random survival forest at a national scale. Geoderma, 344, 184 – 194. https://doi.org/10.1016/j.geoderma.2019.03.016