Landscape metrics are widely used discovering patterns, changes, and trends in urban and rural landscapes. Landscape metrics is a well-developed field but hasn’t seen much progress lately. The aim is to develop and test implementation on hexagonal grids, where all six neighbours are equal, and compare that with well-established landscape metrics calculations that use classic raster 4 and 8 neighbourhoods.
The topic is suitable for master students specialized in geoinformatics but are also interested in physical geography and landscape eceology.
The topic requires Python/R scripting skills (LTOM.02.041 Geospatial Analysis with Python and R). Co-supervisor Evelyn Uuemaa
