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Kelling, Steve; Hochachka, Wesley M.; Fink, Daniel; Riedewald, Mirek; Caruana, Rich; Ballard, Grant; Hooker, Giles – BioScience, 2009
The increasing availability of massive volumes of scientific data requires new synthetic analysis techniques to explore and identify interesting patterns that are otherwise not apparent. For biodiversity studies, a "data-driven" approach is necessary because of the complexity of ecological systems, particularly when viewed at large spatial and…
Descriptors: Biodiversity, Models, Data, Visualization