基本信息
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Career Trajectory
Bio
The professorship focuses on the development and application of mathematical and statistical techniques to analyse and model spatial and temporal variability in soil. This is achieved by combining these techniques with knowledge of soil processes and patterns. Digital soil mapping is an important field of application, as efficient and accurate soil mapping requires a sound understanding of soil variation. The scientific challenge is to move beyond simple statistical relationships and truly integrate pedogenetic knowledge in digital soil mapping, as well as to improve and quantify the accuracy of soil maps. In close collaboration with other WU researchers in the soil domain, this professorship contributes to a better understanding and modelling of soil processes and patterns at multiple spatial and temporal scales. The results are essential to supporting quantitative environmental studies that require accurate regionalised soil information, such as global and regional studies on food security, climate change, biodiversity, land and soil degradation, and water scarcity.
Research Interests
Papers共 361 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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期刊级别
合作者
合作机构
Stephan van der Westhuizen,Gerard B. M. Heuvelink,David P. Hofmeyr,Laura Poggio, Madlene Nussbaum, Colby Brungard
European Journal of Soil Scienceno. 5 (2024)
GEODERMA (2024)
Carbon Managementno. 1 (2024)
PRECISION AGRICULTUREno. 3 (2024): 1529-1555
SCIENCE OF THE TOTAL ENVIRONMENT (2024)
EUROPEAN JOURNAL OF SOIL SCIENCEno. 2 (2024)
COMMUNICATIONS EARTH & ENVIRONMENTno. 1 (2024)
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Author Statistics
#Papers: 361
#Citation: 18106
H-Index: 52
G-Index: 125
Sociability: 7
Diversity: 1
Activity: 2
Co-Author
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- 学生
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