Machine Learning for ‘Strategic Conservation and Planning’: Patterns, Applications, Thoughts and Urgently Needed Global Progress for Sustainability-Reference-Cited by-同舟云学术

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Machine Learning for ‘Strategic Conservation and Planning’: Patterns, Applications, Thoughts and Urgently Needed Global Progress for Sustainability

Published:2018 Issue: Volume: Page:315-333
ISSN:
Container-title:Machine Learning for Ecology and Sustainable Natural Resource Management
language:
Short-container-title:

Author:

Huettmann Falk

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-96978-7_16

Reference74 articles.

1. Alexander JC (2013) The dark side of modernity. Polity Press

2. Alidina HM, Fisher D, Stienback C, Ferdana Z, Lombana A, Huettmann F (2008) Assessing and managing data. In: Ardron J, Possingham H, Klein C (eds) Marxan good practices handbook, Vancouver, pp 14–20 http://www.pacmara.org/

3. Amstrup SC, McDonald TL, Manly B (2006) Handbook of capture-recapture analysis. Princeton University Press

4. Ardron J, Possingham H, Klein C (eds) (2008) Marxan good practices handbook, Vancouver http://www.pacmara.org

5. Arnold TW (2010) Uninformative parameters and model selection using Akaike’s information criterion. J Wildl Manag 74:1175–1178

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1. Machine learning and deep learning—A review for ecologists;Methods in Ecology and Evolution;2023-02-13

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