An overview of pedometric techniques for use in soil survey

By Alex B. McBratney, Inakwu O. A. Odeh, Thomas F.A. Bishop, Marian S. Dunbar, T. M. Shatar. 2000

616 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/68ddced5034e269e42d927fd38bbd1278e584f89

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In Civil and Structural Engineering

In Environmental Engineering

Citations in the corpus

Digital soil mapping: A brief history and some lessons (2016, methodology): “tion (D3 according to McBratney et al. (2003), grid spacing of 20 m to”
Pedodiversity-area relationships for islands (2004, background): “Some pedologists have discussed the value of these methods (e.g. Yaalon, 1998; Wilding and Nordt, 1998; Phillips, 1999; McBratney et al., 2000; Ibáñez and De Alba, 1999, 2000).”
Predictive soil mapping: a review (2003, methodology): “Geostatistics also assume spatial autocorrelation, which sometimes may be a poor assumption in complex terrain where abrupt changes in soil-forming factors occur (McBratney et al., 2000).”
Soil sampling strategies for spatial prediction by correlation with auxiliary maps (2003, methodology): “Simultaneous analysis of feature and geographical space provides a basis for the development of sampling designs for hybrid interpolation techniques, such as kriging with external trend or regression-kriging (McBratney et al. 2000).”
Assessing soil fertility decline in the tropics using soil chemical data (2006, background): “Much progress has been made in the quantification of soil variability and how many samples should be taken to characterize soil properties (McBratney et al., 2000).”
Fine-resolution mapping of soil organic carbon based on multivariate secondary data (2006, methodology): “(3) is often a regression model so that this method is also called dregression krigingT (Hengl et al., 2004; McBratney et al., 2000), but function f can also be a discrete stratification of the local means m*(u).”
Prediction of soil properties using fuzzy membership values (2010, methodology): “These methods were found to outperform multiple regressions, especially when auxiliary information is available and is incorporated through regression-kriging or kriging with external drift (Odeh et al., 1994; McBratney et al., 2000; Bishop and McBratney, 2001).”
Construction of membership functions for predictive soil mapping under fuzzy logic (2010, methodology): “In fuzzy logic-based approaches, soil spatial variation is expressed as spatial variation of membership in soil classes (Zhu, 1997; McBratney et al., 2000; Qi et al., 2006), which is then used to produce conventional soil class maps and to predict spatial variation of specific soil properties (Zhu e”
Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes (2002, background): “(7) amounts to regression kriging (McBratney et al., 2000) the taxonomic distances.”