Prof Edzer Pebesma (University of Münster, Institute for geoinformatics, Germany) and prof Roger Bivand (NHH, Bergen, Norway), main authors of the Springer R series bestlessing book on Applied Spatial Data Analysis (https://asdar-book.org), have jointly started an online Open Access rmarkdown/bookdown book with a working title "Spatial Data Science" (you can access it at: https://www.r-spatial.org/book/).
Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and number of other sciences.
Geocomputation with R, a forthcoming book with CRC Press (authored by Robin Lovelace, Jakub Nowosad, Jannes Muenchow) will be officially launched during the GEOSTAT Summer School on 22nd August 2018. Follow the book progress via github.
Technological and Methodological Advances in Measuring, Mapping and Monitoring Soil Carbon and Nutrients in Space and Spacetime
Special issue Nutrient Cycling in Agroecosystems Journal (SI:NutrientMapping)