Soils provide a range of functions and services, such as organic carbon storing capacity, water management properties, ability to supply nutrients, filtering and buffering capacity, which can help address many environmental challenges and crises (climate change, land degradation, water security, food security etc.) facing humanity. The recognition of the multifunctionality of soils has led to interest in spatial and, increasingly, spatiotemporal information on soil functions and services, mostly in the form of maps, in many fields (agro-environmental management, rural development, hydrology, nature conservation, meteorology etc.). However, digital mapping and assessment of the spatiotemporal variability of soil functions and services is an area where further research is needed. This has led us to the following objectives: (1) investigating how state-of-the-art mathematical, statistical and machine learning methods can be used to map the spatiotemporal variability of soil functions and services, and (2) comprehensive assessment, publication and communication of the results in the form of maps, with paying attention to the end-users’ demands. While the methodological results are of great interest and the compiled maps are expected to have a wide range of applications at both national and international level, the main societal benefit of our research is to raise awareness of the multifunctionality of soils, which are essential to cope with the challenges and environmental crises of our time.