Analysis and prediction of soil properties using local regression-kriging

By Wei Sun, Budiman Minasny, Alex B. McBratney. 2012

94 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/0d4540f9bbaa1a40ed73904395ae6698a766f0ad

How researchers see this paper

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

In Environmental Engineering

1. Wei Sun
2. Q. Tang
3. Wei Luo
4. Pengtao Guo
5. Chunxia Guo
6. Yunqiang Zhu
7. Zhi-Wei Liu
8. Shengli Huang

Citations in the corpus

• Mapping the mean annual precipitation of China using local interpolation techniques (2014, methodology): “These two interpolation techniques were applied in mapping soil attributes and were demonstrated to yield better estimations than many ordinary geostatistical methods (Sun et al. 2012a, b; Kumar et al. 2012).”
• Digital mapping of soil organic matter for rubber plantation at regional scale: An application of random forest plus residuals kriging approach (2015, methodology): “RFRK is an extension of RF; and it is very similar to the widely used hybrid prediction technique regression kriging (RK) (Hengl et al., 2004; Odeh et al., 1995; Piccini et al., 2014; Sun et al., 2012; Zhang et al., 2012).”