Best practices for spatial language data harmonization, sharing and map creation-A case study of Uralic.

Despite remarkable progress in digital linguistics, extensive databases of geographical language distributions are missing. This hampers both studies on language spatiality and public outreach of language diversity. We present best practices for creating and sharing digital spatial language data by collecting and harmonizing Uralic language distributions as case study.

A methodological Markov-CA projection of the greening agricultural landscape-a case study from 2005 to 2017 in southwestern Finland.

The aim of the reformed EU Common Agricultural Policy (CAP) 2014-2020 is to enhance greening via an ecological focus area, arable crop diversification, and the maintenance of permanent grasslands. This study tests the greening process in the case of agricultural landscape in southwestern Finland by projecting land use between 2005 and 2017. The study method integrates the quantitative results of Markov chains and spatial features of a cellular automata model.