See more from this Session: Symposium--Partnering Soil Science and Statistics, Ways to Avoid Statistical Malpractice In Soil Research: I
It is sometimes stated that soil data can never be treated as independent because of the scale-dependence of the processes that determine soil properties. In fact independence is not an intrinsic property of the variables that we study, but is primarily justified by an appropriate sampling strategy. If we assume independence when this is not justified then our statistical inferences are unsafe. I shall show how model-based statistics can be used to analyse data when independence cannot be assumed, and illustrate this with examples from the analysis of data on soil.