A comparison of prediction methods for the creation of field-extent soil property maps

By Thomas F. A. Bishop, Alex B. McBratney. 2001

291 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/d2aa58b9f4d998457d860d595de7cd32a9429ee5

How researchers see this paper

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

In Ecology

In Environmental Engineering

Citations in the corpus

On digital soil mapping (2003, methodology): “In the language of digital soil maps (Bishop et al., 2001), different from that of conventional cartography, scale is a difficult concept, and is better replaced by resolution and spacing.”
Surface modelling of soil properties based on land use information (2011, methodology): “, 1988), regression-kriging using a generalized linear model (McBratney and Walvoort, 2001) and mosaic kriging (Castoldi et al., 2009). According to the findings that slope, aspect and curvature are significant variables of surface analysis (Evans, 1980), thus Yue and Ai (1990) have constructed a me”
Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes (2002, background): “The main objective of the study presented here is to propose a quantitative approach to mapping soil types that recognises the predictive efficiency of soil–environment relationships, uses readily available soil and environmental data (Bishop and McBratney, 2001), incorporates fuzzy or continuous cl”
Spatial interpolation methods applied in the environmental sciences: A review (2014, background): “In addition, the performance of GAM, LM, RT, OK, KED, RK-C and RK-F depended on the choice of secondary information (Bishop and McBratney, 2001; Li et al., 2011c, 2010).”
A generic framework for spatial prediction of soil variables based on regression-kriging (2004, background): “In several other studies (Odeh et al., 1994, 1995; Goovaerts, 1999b; Bishop and McBratney, 2001), combination of kriging and correlation with auxiliary data outperformed ordinary kriging, co-kriging and plain regression.”
Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence (2002, background): “Future work will focus on using spatial dependence in a more restricted way in vegetation models so that environmental variables are not replaced by an over-specified dependence variable (see Gotway and Stroup, 1997; Pebesma et al., 2000; Bishop and McBratney, 2001).”
A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors (2011, unknown): “…information (Ahmed and De Marsily, 1987; Collins and Bolstad, 1996; Martínez-Cob, 1996; Goovaerts, 1997; Juang and Lee, 1998; Goovaerts, 2000; Bishop and McBratney, 2001;Wang et al., 2005; Hernandez-Stefanoni and PonceHernandez, 2006; Hengl, 2007), stratification (Brus et al., 1996; Voltz…”
A Practical Guide to Geostatistical Mapping (2009, methodology): “6), we can also make spatial predictions for blocks of land (block kriging) and display them using the same raster model (Bishop and McBratney, 2001).”
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).”