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

PloS one, 2015-06, Vol.10 (6), p.e0125814-e0125814

2015

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Soil resources and element stocks in drylands to face global issues

Scientific reports, 2018-09, Vol.8 (1), p.13788-8, Article 13788

2018

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Incorporating DEM uncertainty in coastal inundation mapping

PloS one, 2014-09, Vol.9 (9), p.e108727

2014

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Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration

PeerJ (San Francisco, CA), 2020-07, Vol.8, p.e9558-e9558, Article e9558

2020

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Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana

Heliyon, 2024-09, Vol.10 (17), p.e37065, Article e37065

2024

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Latin Hypercube Sampling of Gaussian Random Fields

Technometrics, 1999-11, Vol.41 (4), p.303-312

1999

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Spatio-temporal interpolation of daily temperatures for global land areas at 1km resolution

Journal of geophysical research. Atmospheres, 2014-03, Vol.119 (5), p.2294-2313

2014

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Uncertainty quantification of soil property maps with statistical expert elicitation

Geoderma, 2013, Vol.202-03, p.142-152

2013

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Refining a reconnaissance soil map by calibrating regression models with data from the same map (Normandy, France)

Geoderma Regional, 2014-09, Vol.1 (septembre 2014), p.21-30

2014

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Soil type mapping using the generalised linear geostatistical model: A case study in a Dutch cultivated peatland

Geoderma, 2012, Vol.189-90, p.540-553

2012

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Managing uncertainty in integrated environmental modelling: The UncertWeb framework: Thematic Issue on the Future of Integrated Modeling Science and Technology

Environmental modelling & software : with environment data news, 2013, Vol.39, p.116-134

2013

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Space–Time Geostatistics for Geography: A Case Study of Radiation Monitoring Across Parts of Germany. 地理学的时空地统计学：横跨德国部分区域的辐射监测的案例研究

Geographical analysis, 2010-04, Vol.42 (2), p.161-179

2010

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Using Linear Integer Programming for Multi-Site Land-Use Allocation

Geographical analysis, 2003, Vol.35 (2), p.148-169

2003

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Accounting for Spatial Uncertainty in Optimization with Spatial Decision Support Systems

Transactions in GIS, 2003-03, Vol.7 (2), p.211-230

2003

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Spatial Data Quality. Edited by WENZHONG SHI, PETER F. FISHER and MICHAEL F. GOODCHILD (London: Taylor & Francis, 2002) [Pp. xx+313]. ISBN: 0-415-25835-9. Price £59.99. Hardback

International journal of geographical information science : IJGIS, 2003-12, Vol.17 (8), p.816-818

Heuvelink, Gerard B. M.

2003

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INTAMAP: The design and implementation of an interoperable automated interpolation web service: Geoinformatics for Environmental Surveillance

Computers & geosciences, 2011, Vol.37 (3), p.343-352

2011

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About regression-kriging : From equations to case studies: Spatial analysis

Computers & geosciences, 2007, Vol.33 (10), p.1301-1315

2007

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GlobalSoilMap: Chapter Three; Toward a Fine-Resolution Global Grid of Soil Properties

Advances in agronomy, 2014-01, Vol.125, p.93

2014

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Incorporating DEM Uncertainty in Coastal Inundation Mapping: e108727

PloS one, 2014-09, Vol.9 (9)

2014

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Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions: e0125814

PloS one, 2015-06, Vol.10 (6)

2015

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Comment on: Modeling soil variation: past, present and future. Authors' reply

Geoderma, 2002, Vol.109 (3-4), p.289-297

2002

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Uncertain Environmental Variables in GIS

Encyclopedia of GIS, 2017, p.2346-2354

2017

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R. Webster, M.A. Oliver: Geostatistics for Environmental Scientists: Second Edition. Wiley, Chichester (2007). Print ISBN: 9780470028582, Online ISBN: 9780470517277, $130USD

Mathematical Geosciences, 2009, Vol.41 (4), p.487-489

Heuvelink, Gerard B. M.

2009

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Analysing Uncertainty Propagation in GIS: Why is it not that Simple?

Uncertainty in Remote Sensing and GIS, 2002, p.155-165

2002

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Space-Time Geostatistics

Encyclopedia of GIS, 2017, p.1919-1926

2017

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

Soil resources and element stocks in drylands to face global issues

Incorporating DEM uncertainty in coastal inundation mapping

Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration

Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana

Latin Hypercube Sampling of Gaussian Random Fields

Spatio-temporal interpolation of daily temperatures for global land areas at 1km resolution

Uncertainty quantification of soil property maps with statistical expert elicitation

Refining a reconnaissance soil map by calibrating regression models with data from the same map (Normandy, France)

Soil type mapping using the generalised linear geostatistical model: A case study in a Dutch cultivated peatland

Managing uncertainty in integrated environmental modelling: The UncertWeb framework: Thematic Issue on the Future of Integrated Modeling Science and Technology

Space–Time Geostatistics for Geography: A Case Study of Radiation Monitoring Across Parts of Germany. 地理学的时空地统计学：横跨德国部分区域的辐射监测的案例研究

Using Linear Integer Programming for Multi-Site Land-Use Allocation

Accounting for Spatial Uncertainty in Optimization with Spatial Decision Support Systems

Spatial Data Quality. Edited by WENZHONG SHI, PETER F. FISHER and MICHAEL F. GOODCHILD (London: Taylor & Francis, 2002) [Pp. xx+313]. ISBN: 0-415-25835-9. Price £59.99. Hardback

INTAMAP: The design and implementation of an interoperable automated interpolation web service: Geoinformatics for Environmental Surveillance

About regression-kriging : From equations to case studies: Spatial analysis

GlobalSoilMap: Chapter Three; Toward a Fine-Resolution Global Grid of Soil Properties

Incorporating DEM Uncertainty in Coastal Inundation Mapping: e108727

Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions: e0125814

Comment on: Modeling soil variation: past, present and future. Authors' reply

Uncertain Environmental Variables in GIS

R. Webster, M.A. Oliver: Geostatistics for Environmental Scientists: Second Edition. Wiley, Chichester (2007). Print ISBN: 9780470028582, Online ISBN: 9780470517277, $130USD

Analysing Uncertainty Propagation in GIS: Why is it not that Simple?

Space-Time Geostatistics

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