Machine Learning for Ecology and Sustainable Natural Resource Management
Springer International Publishing
Chapter title |
Use of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook
|
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Chapter number | 2 |
Book title |
Machine Learning for Ecology and Sustainable Natural Resource Management
|
Published by |
Springer, Cham, November 2018
|
DOI | 10.1007/978-3-319-96978-7_2 |
Book ISBNs |
978-3-31-996976-3, 978-3-31-996978-7
|
Authors |
Falk Huettmann, Erica H. Craig, Keiko A. Herrick, Andrew P. Baltensperger, Grant R. W. Humphries, David J. Lieske, Katharine Miller, Timothy C. Mullet, Steffen Oppel, Cynthia Resendiz, Imme Rutzen, Moritz S. Schmid, Madan K. Suwal, Brian D. Young, Huettmann, Falk, Craig, Erica H., Herrick, Keiko A., Baltensperger, Andrew P., Humphries, Grant R. W., Lieske, David J., Miller, Katharine, Mullet, Timothy C., Oppel, Steffen, Resendiz, Cynthia, Rutzen, Imme, Schmid, Moritz S., Suwal, Madan K., Young, Brian D. |
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 29% |
Student > Ph. D. Student | 3 | 14% |
Professor | 2 | 10% |
Other | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 6 | 29% |
Agricultural and Biological Sciences | 2 | 10% |
Mathematics | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Other | 1 | 5% |
Unknown | 9 | 43% |