Predictive vegetation mapping based on soil and topographical data: A case study from Saare County, Estonia

As a result of verification, 25% of suitable soil distribution areas were, on average, covered by so-called accurate (well correlated) site types (STs) (in some cases by site TGs); accurate and similar, probably due to their mode of use or some change in abiotic conditions, STs and site TGs accounted for around 82% of the soil distribution areas. Query-based maps can be easily upgraded if the accuracy of the data layers is improved and they can be used in the fields of forestry, nature protection and planning.