Machine Learning for Ecology and Sustainable Natural Resource Management

• Corporate Author: SpringerLink (Online service)
• Other Authors: Humphries, Grant (Editor, http://id.loc.gov/vocabulary/relators/edt), Magness, Dawn R. (Editor, http://id.loc.gov/vocabulary/relators/edt), Huettmann, Falk (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Ecology .; Bioinformatics .; Computational biology .; Biostatistics.; Data mining.; Pattern recognition.; Ecology.; Computer Appl. in Life Sciences.; Data Mining and Knowledge Discovery.; Pattern Recognition.

Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology,...