Refactoring a statistical package for demanding memory loads-Reference-Cited by-同舟云学术

Refactoring a statistical package for demanding memory loads

Published:2020-07-26 Issue: Volume: Page:
ISSN:
Container-title:Practice and Experience in Advanced Research Computing
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Author:

Belshe Rebecca¹,Schlichting Peter²,Speyer Gil¹

Affiliation:

1. Arizona State University, USA

2. Illinois Department of Natural Resources, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3311790.3399624

Reference7 articles.

1. Estimating overlap of daily activity patterns from camera trap data

2. F. Rovero and F. Zimmermann. 2016. Running the analysis in R (adapted from Meredith and Ridout 2014). Camera Trapping for Wildlife Research (pp. 153-161). Pelagic Publishing. F. Rovero and F. Zimmermann. 2016. Running the analysis in R (adapted from Meredith and Ridout 2014). Camera Trapping for Wildlife Research (pp. 153-161). Pelagic Publishing.

3. Estimating wildlife activity curves: comparison of methods and sample size

4. https://github.com/mikemeredith/overlap https://github.com/mikemeredith/overlap

5. J. Long R. Weibel S. Dodge and P. Laube. 2018. Moving ahead with computational movement analysis. International Journal of Geographical Information Science: Special Issue in Memoriam of Professor Rein Ahas on Computational Movement Analysis 32(7) 1275-1281. J. Long R. Weibel S. Dodge and P. Laube. 2018. Moving ahead with computational movement analysis. International Journal of Geographical Information Science: Special Issue in Memoriam of Professor Rein Ahas on Computational Movement Analysis 32(7) 1275-1281.

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