Kitzes, Justin. "Case Study 9: Analyzing Bat Distributions in a Human- Dominated Landscape with Autonomous Acoustic Detectors and Machine Learning Models".
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, edited by Justin Kitzes, Berkeley: University of California Press, 2017, pp. 155-160.
https://doi.org/10.1525/9780520967779-018Kitzes, J. (2017). Case Study 9: Analyzing Bat Distributions in a Human- Dominated Landscape with Autonomous Acoustic Detectors and Machine Learning Models. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 155-160). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-018Kitzes, J. 2017. Case Study 9: Analyzing Bat Distributions in a Human- Dominated Landscape with Autonomous Acoustic Detectors and Machine Learning Models. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 155-160.
https://doi.org/10.1525/9780520967779-018Kitzes, Justin. "Case Study 9: Analyzing Bat Distributions in a Human- Dominated Landscape with Autonomous Acoustic Detectors and Machine Learning Models" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 155-160. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-018Kitzes J. Case Study 9: Analyzing Bat Distributions in a Human- Dominated Landscape with Autonomous Acoustic Detectors and Machine Learning Models. In: Kitzes J (ed.)
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press; 2017. p.155-160.
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