Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood

By R. Kerry, Margaret A. Oliver. 2007

205 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/150d4960f49e3301ccebb35dafc0d418a4600b52

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Jin Li
2. Andrew D. Heap
3. Richard Webster
4. Margaret A. Oliver

In Environmental Engineering

1. Jin Li
2. Andrew D. Heap
3. Richard Webster
4. Margaret A. Oliver
5. Gerard B. M. Heuvelink
6. Tomislav Hengl
7. R. M. Lark
8. Budiman Minasny

In Management, Monitoring, Policy and Law

1. Jin Li
2. Andrew D. Heap
3. Richard Webster
4. Margaret A. Oliver

Citations in the corpus

• A tutorial guide to geostatistics: Computing and modelling variograms and kriging (2014, methodology): “Likelihood methods of choosing and fi tting models are also gaining ground among geostaticians, especially to incorporate trend and exter-nal drift (Kerry and Oliver, 2007a; Lark, 2012; Lark and Webster, 2006; Lark et al., 2006).”
• Multi-criteria characterization of recent digital soil mapping and modeling approaches (2009, unknown): “3/2006) Kerry and Oliver (2007a) Clay N—205; 109; 70; 118 E 4 fields: 0.”
• Spatial interpolation methods applied in the environmental sciences: A review (2014, methodology): “This requirement could be overcome by using the residual maximum likelihood method (REML) variogram (Kerry and Oliver, 2007).”