• CLORPT: Spatial Association in Soil Geography

    From as early as 500 BCE, humans have recognized that some things vary together in space. This is essentially correlation, but the spatial aspect sometimes adds a special twist. The first scientific application of spatial association to soil mapping that we know about was by E.W. Hilgard. He observed that knowledge of the geology and type of vegetation were useful indicators for predicting soil type. Today in digital soil mapping, we still utilize these concepts, but because we use much more quantitative variables, we typically describe this method as spatial regression, or a little more specifically, environmental correlation.

    [Read More...]
  • Issues of Sampling Scale and Transferability for Digital Soil Mapping (2015 EGU General Assembly)

    Poster examining the effects of sampling scale and spatial modelling methods on predicted patterns of SOC% and the associated errors. (presented in Vienna, Austria)

    [Read More...]