The commonly used variogram function is incapable of modelling complex spatial patterns associated with repetitive, connected or curvilinear features, because it is a two-point statistic. Because this was strongly limiting to petroleum- and hydrogeologists, they developed multiple-point geostatistic[......]
We developed AQP (Algorithms for Quantitative Pedology) as a software package in the R statistical environment so that we can easily perform common tasks such as visualization, aggregation, and classification of soil profile data. As soil data can be associated with location (x, y), depth (z), and[......]
The following is a summary of the paper by Titia Mulder which is nominated for Best Paper in Pedometrics 2013.
Soil mineralogy is an important indicator for soil formation and parent material characterization. In environmental and geological studies, the characterization (and quantification) of s[......]
The following is a summary of the paper by Brendan Malone which is nominated for best paper in Pedometrics 2013.
A remarkable growth in the application of Digital Soil Mapping (DSM) is currently being experienced around the world. It is being used to address important environmental issues over a[......]
The following is a summary of the paper by Murray Lark, which was nominated for the 2013 Best Pedometrics Paper.
One of the useful things about geostatistical prediction is that if you know the variogram of a soil property then you can compute the mean-squared error of the kriging prediction for[......]