Geostatistical Sampling Design
Geostatistical Sampling Design is a systematic methodology for determining the spatial arrangement of sample locations in soil surveys by incorporating the statistical properties of spatial autocorrelation and variographic structure to optimize inference about spatially continuous environmental phenomena.
68
Publications
3.7K
Citations
169
Authors
118
Institutions
Publications per year
2017–2026
11
Parents
68
Bayesian Geostatistical Design
Peter J. Diggle, Søren Lophaven · Scandinavian Journal of Statistics · 2005 · 230 citations · Full text
Spatial variability of in situ weathered soil
Satyanarayana Murty Dasaka, Limin Zhang · Géotechnique · 2012 · 191 citations
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118
Wageningen University & Research
Wageningen, The Netherlands
6 h-index
9 publications
603 citations
Lancaster University
Lancaster, United Kingdom
3 h-index
5 publications
344 citations

The University of Sydney
Sydney, Australia
3 h-index
4 publications
162 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
506 citations

Rothamsted Research
Harpenden, United Kingdom
3 h-index
5 publications
320 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
3 h-index
7 publications
362 citations
University of Southampton
Southampton, United Kingdom
2 h-index
3 publications
544 citations

University of Malawi
Zomba, Malawi
2 h-index
6 publications
171 citations
1–8 of 118
6 publications · 388 citations
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3 publications · 94 citations
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2 publications · 150 citations
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2 publications · 49 citations
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1 publications · 100 citations
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