Chapter 14 Designing Spatial Coverage Samples Using the k-means Clustering Algorithm

By Dick Brus, J. J. Gruijter, J. W. Groenigen. 2006

54 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geography, Planning and Development, Signal Processing

View Paper: https://www.semanticscholar.org/paper/5dafdc86bad0838b734daacf05d8b5620c8d3e1b

How researchers see this paper

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In Environmental Engineering

1. Dick Brus
2. Gerard B. M. Heuvelink
3. Tomislav Hengl
4. Bas Kempen
5. Scott M. Lesch
6. Dennis L. Corwin

Citations in the corpus

• Incorporating limited field operability and legacy soil samples in a hypercube sampling design for digital soil mapping (2016, unknown): “Suggested strategies infer sampling in the geographical space ( Brus et al., 2006), in the soil related covariate space ( Minasny and McBratney , 2006), or in a combination of both ( Dobermann and Simba-han , 2007).”
• Optimization of sample patterns for universal kriging of environmental variables (2007, background): “Suitable sample patterns for model-based mapping are spatial coverage samples and, with the variogram known, geostatistical samples (Brus et al., 2006).”