Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches - Ließ, Mareike; Schmidt, Johannes; Glaser, Bruno (PloS one, 2016)
Keywords: Algorithms; Artificial intelligence; Artificial neural networks; Biology and Life Sciences; Carbon; Carbon - analysis; Carbon Cycle; Carbon Sequestration; Carbon sinks; Carbon storage; Computer and Information Sciences; Digital Elevation Models; Digital imaging; Earth Sciences; Ecology and Environmental Sciences; Ecuador; Forests; Geographic information systems; Hydrology; Internet; Learning algorithms; Machine Learning; Models, Biological; Mountain forests; Mountain regions; Neural networks; Open access publishing; Organic carbon; Organic soils; Performance prediction; Physical Sciences; Physics; Rainforest; Regression Analysis; Research and Analysis Methods; Satellite imagery; Satellite navigation systems; Soil - chemistry; Soil carbon; Soil improvement; Soils; Spatial analysis; Splines; Support Vector Machine; Support vector machines; Topography; Tropical forests; Tuning; Vegetation