Machine Learning Estimates of Global Marine Nitrogen Fixation

Marine nitrogen fixation rates were estimated by two machine learning algorithms (random forest and support vector regression). The two algorithms were trained based on the measurements of nitrogen fixation rates compiled from the global ocean. More detailed information can be found in the article: Tang, W., Li, Z., & Cassar, N. (2019). Machine learning estimates of global marine nitrogen fixation. Journal of Geophysical Research: Biogeosciences, 124(3), 717-730. https://doi.org/10.1029/2018JG004828

Related Organizations

Duke University
United States
College of New Jersey
United States

Keywords

Inorganic Chemistry, machine learning, Ecology, Science Policy, Virology, Genetics, Plant Biology, Marine Biology, Microbiology, marine nitrogen fixation, Neuroscience

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average