Add some contributors, references and bibliography

python-windrose · May 11, 2018 · 4e25194 · 4e25194
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diff --git a/paper.bib b/paper.bib
@@ -0,0 +1,112 @@
+ @misc{ wiki:###,
+   author = "{Wikipedia contributors}",
+   title = "Wind rose --- {W}ikipedia{,} The Free Encyclopedia",
+   year = "2018",
+   url = "https://en.wikipedia.org/w/index.php?title=Windrose&oldid=839157228",
+   note = "[Online; accessed 11-May-2018]"
+ }
+
+@article{doi:10.1109/MCSE.2007.58,
+  author = {Travis E. Oliphant},
+  title = {Python for Scientific Computing},
+  journal = {Computing in Science \& Engineering},
+  volume = {9},
+  number = {3},
+  pages = {10-20},
+  year = {2007},
+  doi = {10.1109/MCSE.2007.58},
+  URL = { 
+    https://aip.scitation.org/doi/abs/10.1109/MCSE.2007.58
+  },
+  eprint = { 
+    https://aip.scitation.org/doi/pdf/10.1109/MCSE.2007.58
+  }
+}
+
+@article{doi:10.1109/MCSE.2011.36,
+  author = {K. Jarrod Millman and Michael Aivazis},
+  title = {Python for Scientists and Engineers},
+  journal = {Computing in Science \& Engineering},
+  volume = {13},
+  number = {2},
+  pages = {9-12},
+  year = {2011},
+  doi = {10.1109/MCSE.2011.36},
+  URL = { 
+    https://aip.scitation.org/doi/abs/10.1109/MCSE.2011.36
+  },
+  eprint = { 
+    https://aip.scitation.org/doi/pdf/10.1109/MCSE.2011.36
+  }
+}
+
+@article{Walt:2011:NAS:1957373.1957466,
+ author = {Walt, Stefan van der and Colbert, S. Chris and Varoquaux, Gael},
+ title = {The NumPy Array: A Structure for Efficient Numerical Computation},
+ journal = {Computing in Science and Engg.},
+ issue_date = {March 2011},
+ volume = {13},
+ number = {2},
+ month = mar,
+ year = {2011},
+ issn = {1521-9615},
+ pages = {22--30},
+ numpages = {9},
+ url = {https://doi.org/10.1109/MCSE.2011.37},
+ doi = {10.1109/MCSE.2011.37},
+ acmid = {1957466},
+ publisher = {IEEE Educational Activities Department},
+ address = {Piscataway, NJ, USA},
+ keywords = {NumPy, Python, Python, NumPy, scientific programming, numerical computations, programming libraries, numerical computations, programming libraries, scientific programming},
+} 
+
+@article{doi:10.1109/MCSE.2007.55,
+  author = {John D. Hunter},
+  title = {Matplotlib: A 2D Graphics Environment},
+  journal = {Computing in Science \& Engineering},
+  volume = {9},
+  number = {3},
+  pages = {90-95},
+  year = {2007},
+  doi = {10.1109/MCSE.2007.55},
+  URL = {
+    https://aip.scitation.org/doi/abs/10.1109/MCSE.2007.55
+  },
+  eprint = { 
+    https://aip.scitation.org/doi/pdf/10.1109/MCSE.2007.55
+  }
+}
+
+@InProceedings{ mckinney-proc-scipy-2010,
+  author    = { Wes McKinney },
+  title     = { Data Structures for Statistical Computing in Python },
+  booktitle = { Proceedings of the 9th Python in Science Conference },
+  pages     = { 51 - 56 },
+  year      = { 2010 },
+  editor    = { St\'efan van der Walt and Jarrod Millman }
+}
+
+@Misc{,
+  author =    {Eric Jones and Travis Oliphant and Pearu Peterson and others},
+  title =     {{SciPy}: Open source scientific tools for {Python}},
+  year =      {2001--},
+  url = "http://www.scipy.org/",
+  note = {[Online; accessed <today>]}
+}
+
+@article{doi:10.1109/MCSE.2007.53,
+  author = {Fernando Pérez and Brian E. Granger},
+  title = {IPython: A System for Interactive Scientific Computing},
+  journal = {Computing in Science \& Engineering},
+  volume = {9},
+  number = {3},
+  pages = {21-29},
+  year = {2007},
+  doi = {10.1109/MCSE.2007.53},
+  URL = { 
+    https://aip.scitation.org/doi/abs/10.1109/MCSE.2007.53
+  },
+  eprint = { 
+    https://aip.scitation.org/doi/pdf/10.1109/MCSE.2007.53
+  }
+}
diff --git a/paper.md b/paper.md
@@ -20,19 +20,38 @@ authors:
 affiliations:
  - name: LIMAIR
    index: 1
- - name: Université de Poitiers - Poitiers Institute of Technology (IUT)
+ - name: Université de Poitiers - IUT de Poitiers (Poitiers Institute of Technology)
    index: 2
-date: 13 may 2017
+date: 11 may 2018
 bibliography: paper.bib
 ---
 
 # Summary
 
+A [wind rose](https://en.wikipedia.org/wiki/Wind_rose) is a graphic tool used by meteorologists to give a succinct view of how wind speed and direction are typically distributed at a particular location.
+
+A wind rose can also be used to describe visually air quality.
+
 Windrose is Python Matplotlib, Numpy library to manage wind data, draw windrose 
 (also known as a polar rose plot), draw probability density function and fit Weibull distribution
 
--![Windrose (bar) example](screenshots/bar.png)
--![Windrose (contourf-contour) example](screenshots/contourf-contour.png)
--![Windrose subplots](screenshots/subplots.png)
+-![Windrose (bar) example](docs/screenshots/bar.png)
+-![Windrose (contourf-contour) example](docs/screenshots/contourf-contour.png)
+-![Windrose subplots](docs/screenshots/subplots.png)
+
+# List of contributors and/or notable users
+* Lionel Roubeyrie - LIMAIR - https://github.com/LionelR
+* Sébastien Celles - Université de Poitiers - IUT de Poitiers - https://github.com/scls19fr
+* Julian Quick - https://github.com/kilojoules
+* Ivan Ogasawara - https://github.com/xmnlab
+* Samuël Weber - https://github.com/weber-s
+* Fabien Maussion - Research Centre for Climate at the University of Innsbruck - https://github.com/fmaussion
+* Filipe Fernandes - School of Marine Science and Technology - https://github.com/ocefpaf
+* Daniel Garver - United States Environmental Protection Agency
+* Ryan Brown - United States Environmental Protection Agency
 
 # References
+* Travis E, Oliphant. A guide to NumPy, USA: Trelgol Publishing, (2006).
+* R.E. Munn (1969) Pollution wind‐rose analysis, Atmosphere, 7:3, 97-105
+* "NRCS National Water and Climate Center - Climate Products - Climate Data - Wind Rose." NRCS National Water and Climate Center | Home, www.wcc.nrcs.usda.gov/climate/windrose.html.
+* Air Quality Data Analysis using Open Source Tools http://slideplayer.com/slide/5922455/