Search for projects with tag "Self-Organizing Map"
PI: Gunnar Lischeid
Decades of extensive research in the Krycklan Catchment have unravelled a multitude of hydrological, biogeochemical and biological processes. Whereas clear evidence can be found in the lab or in plot scale studies, a proof of relevance at the landscape scale requires powerful modern methods. To that end two different approaches (Isometric Feature Mapping and Self-Organizing Maps, combined with Sammon's Mapping) are applied to a comprehensive stream and groundwater quality data set.