Ecological Niche Models of 1508 European Species with Artificial Neural Networks, Maximum Entropy, and Support Vector Machines at 0.5° Resolution

Native ecological niche models of 1508 European species (894 fish and 614 non fish) developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, under RCP 2.6, 4.5, and 8.5 scenarios in 2019, 2050, and 2100, at 0.5° spatial resolution.

Keywords

Ecological Niche Models, Support Vector Machines, AquaMaps, Maximum Entropy, Artificial Neural Networks

1 Research products, page 1 of 1

Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species, developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution
2022IsVersionOf

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