R. A. (Bob) MacMillan

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	总计	2020 年至今
引用	9631	5802
h 指数	28	19
i10 指数	35	23

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Tomislav HenglDirector, OpenGeoHub foundation / Envirometrix Ltd, Wageningen在 opengeohub.org 的电子邮件经过验证
Gerard HeuvelinkSpecial Professor, Wageningen University and Senior Researcher, ISRIC World Soil Information在 wur.nl 的电子邮件经过验证
Jorge S. Mendes de JesusISRIC - World Soil Information在 wur.nl 的电子邮件经过验证
E RibeiroISRIC在 wur.nl 的电子邮件经过验证
Niels H. BatjesSenior expert soil science and Coordinator World Data Centre for Soils (WDC-Soils)在 wur.nl 的电子邮件经过验证
Dr. Ichsani WheelerOpenGeoHub Foundation在 opengeohub.org 的电子邮件经过验证
Milan KilibardaUniversity of Belgrade,Faculty of Civil Engineering, Serbia在 grf.bg.ac.rs 的电子邮件经过验证
Alex McBratneyThe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Alfred E. HarteminkProfessor of soil science. University of Wisconsin. Department of Soil Science, FD Hole Soils在 wisc.edu 的电子邮件经过验证
Alessandro Samuel-RosaFederal University of Technology - Paraná在 utfpr.edu.br 的电子邮件经过验证
Neil McKenzieCSIRO Land and Water在 csiro.au 的电子邮件经过验证
Budiman MinasnyProfessor in Soil-Landscape Modelling, University of Sydney在 sydney.edu.au 的电子邮件经过验证
dominique arrouaysINRAE, Info&Sols, Orléans, France在 inrae.fr 的电子邮件经过验证
Pauline van Gaanssenior scientist soil quality, Deltares, Netherlands在 deltares.nl 的电子邮件经过验证
Hannes Isaak Reuter在 gisxperts.de 的电子邮件经过验证
Paul E GesslerProfessor of Remote Sensing, GeoEcology, and Environmental Science, University of Idaho在 uidaho.edu 的电子邮件经过验证
Andrew SilaThe Alliance of Bioversity International and CIAT; Data Scientist
Gan ZhangGuangzhou Institute of Geochemistry, CAS在 gig.ac.cn 的电子邮件经过验证
Roy Haines-YoungEmeritus Professor of Environmental Management, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证

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R. A. (Bob) MacMillan

LandMapper Environmental Solutions Inc. (fully retired)

在 google.com 的电子邮件经过验证

soils landforms automated analysis of landforms predictive ecosystem mapping automated analysis of DEMs Open Geodata Predict


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	3651	2017
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	1252	2014
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	962	2015
Fuzzy classification methods for determining land suitability from soil profile observations and topography PA Burrough, RA MacMillan, W Van Deursen Journal of soil Science 43 (2), 193-210, 1992	534	1992
A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic RA MacMillan, WW Pettapiece, SC Nolan, TW Goddard Fuzzy sets and Systems 113 (1), 81-109, 2000	465	2000
High-resolution landform classification using fuzzy k-means PA Burrough, PFM van Gaans, RA MacMillan Fuzzy sets and systems 113 (1), 37-52, 2000	448	2000
Landforms and landform elements in geomorphometry RA MacMillan, PA Shary Developments in soil science 33, 227-254, 2009	354	2009
African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning T Hengl, MAE Miller, J Križan, KD Shepherd, A Sila, M Kilibarda, ... Scientific reports 11 (1), 6130, 2021	216	2021
Defining a hierarchy of spatial entities for environmental analysis and modeling using digital elevation models (DEMs) RA MacMillan, RK Jones, DH McNabb Computers, Environment and Urban Systems 28 (3), 175-200, 2004	167	2004
Predictive soil mapping with R T Hengl, RA MacMillan OpenGeoHub Foundation: Wageningen, The Netherlands, 370, 2019	162	2019
Automated analysis and classification of landforms using high-resolution digital elevation data: applications and issues RA MacMillan, TC Martin, TJ Earle, DH McNabb Canadian Journal of Remote Sensing 29 (5), 592-606, 2003	157	2003
Spatial modelling with Euclidean distance fields and machine learning T Behrens, K Schmidt, RA Viscarra Rossel, P Gries, T Scholten, ... European journal of soil science 69 (5), 757-770, 2018	156	2018
Multi-scale digital soil mapping with deep learning T Behrens, K Schmidt, RA MacMillan, RA Viscarra Rossel Scientific reports 8 (1), 15244, 2018	129	2018
Automated predictive ecological mapping in a forest region of BC, Canada, 2001–2005 RA MacMillan, DE Moon, RA Coupé Geoderma 140 (4), 353-373, 2007	104	2007
The GlobalSoilMap project specifications D Arrouays, AB McBratney, B Minasny, JW Hempel, GBM Heuvelink, ... GlobalSoilMap: Basis of the global spatial soil information system, 2014	101	2014
Lidar DEM error analyses and topographic depression identification in a hummocky landscape in the prairie region of Canada S Li, RA MacMillan, DA Lobb, BG McConkey, A Moulin, WR Fraser Geomorphology 129 (3-4), 263-275, 2011	98	2011
GlobalSoilMap.net – A New Digital Soil Map of the World AE Hartemink, J Hempel, P Lagacherie, A McBratney, N McKenzie, ... Digital soil mapping: Bridging research, environmental application, and …, 2010	66	2010
Geomorphometry—a key to landscape mapping and modelling T Hengl, RA MacMillan Developments in Soil Science 33, 433-460, 2009	63	2009
Multiscale contextual spatial modelling with the Gaussian scale space T Behrens, K Schmidt, RA MacMillan, RAV Rossel Geoderma 310, 128-137, 2018	61	2018
LandMapR© Software Toolkit-C++ Version: users manual RA MacMillan Alberta: LandMapper Environmental Solutions, 2003	35	2003

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