Vegetation zones

The regionalisation of swamp vegetation is based on the types of leaching. The division is digitised from the work Finnish Atlas, bookbook 141-143, Ruuhijärvi, R.1988: Bog vegetation. The zone boundaries of the sea area have been digitised in 2002 as defined separately by R. Ruuhijärvi. The material is part of SYKE’s open data (CC BY 4.0). The data product INSPIRE has been published. Purpose: The material is used for the production of background maps and rough analyses. The mire vegetation zones dataset includes information on vegetation zones based on combinations of different mire types. The distribution of zones has been Digitised from the mire vegetation maps of the Finnish map book (Finnish Atlas, book 141-143, Ruuhijärvi, R 1998: Bog vegetation). The mire zones are extended to outer sea areas based on the identification made by R. Ruuhijärvi on 2002. The Finnish national borders are based on the Digital Chart of the World (DCW) dataset with coastline corrections done by SYKE. The dataset has been fitted to match the outer borders of the national waters (Digitised in SYKE). This SYKE’s dataset can be used according to open data license (CC BY 4.0). Inspire compatible dataset has been published. The material is digitised from the screen as the Atlas of Finland, bookbook 141-143, Ruuhijärvi, R.1988: Bog vegetation. The zone boundaries of the sea area have been digitised in 2002 as defined separately by R. Ruuhijärvi. Use within the accuracy of the material. Finland’s borders are based on the municipality size 1:100 000, 2013 of the Finnish Land Survey of Finland’s open data, which has been added in SYKE with the sealine and the largest islands in the Baltic Sea from SYKE’s own coastline material. The dataset has been Digitised from a screen in SYKE. The Finnish map book Finnish atlas, book 141-143, part Mire vegetation, written by R. Ruuhijärvi 1988 was used as a base map for the digitising. The mire zones are extended to sea areas based on the identification made by R. Ruuhijärvi on 2002. Information can be used in limits of the data accuracy.