Improved Prediction and Reduction of Sampling Density for Soil Salinity by Different Geostatistical Methods
By Li Yan, Zhou Shi, Ci-fang Wu, Hong‐Yi Li, F. Li. 2007
47 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Ecology, Evolution, Behavior and Systematics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/a003479e1ddea13dd95c771bc2bda1664524ec2e
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In Civil and Structural Engineering
In Ecology, Evolution, Behavior and Systematics
In Environmental Engineering
Citations in the corpus
- Spatial interpolation methods applied in the environmental sciences: A review (2014, methodology): “OK, OCK and RK-E (Li and Heap, 2008) were compared for sample sizes of 40, 70, 100, 130 and 160 (Li et al., 2007).”
- A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors (2011, result): “…in relation to low sample density (1783 km2 per sample) in terms of RRMSE The impacts of sample density on the estimation depend on the spatial interpolation methods (Bourennane et al., 2000; Wang et al., 2005; Hengl, 2007; Li et al., 2007), which is consistent with the findings in this review.”