Links for quantitative ecology


I wrote this list in 2014 and although most of this stuff is still useful, it's missing Git, RMarkdown, and overleaf among other things.  For computational work, check out the Guide to Reproducible Code in Ecology and Evolution from the BES.

Writing & plotting

Favourite document processor
http://www.lyx.org/

Latex styles for biology journals
http://schneider.ncifcrf.gov/latex.html

Plots in R or Matlab are great - check also GnuPlot, for large datasets
http://www.gnuplot.info/
Matlab users in ecology

You'll love D. Hiebeler's Matlab / R translation
http://cran.r-project.org/doc/contrib/Hiebeler-matlabR.pdf

Programming & modelling: introductory material in R

A primer of ecology with R, by H. Stevens. With a focus on population and community dynamics
(end chapters are pretty advanced).

How to be a quantitative ecologist by J. Matthiopoulos. With lots of reminders for those who forgot math.

The Analysis of Biological Data, by Whitlock and Schluter. Good intro statistical textbook for general biology. Use R, data and code included. http://whitlockschluter.zoology.ubc.ca/

Ecological models and data in R, by B. Bolker - very useful for ecological statistics

That's a really small and partial list -- for French readers with a statistical bent, check this out

Technical questions

Getting a grip on Ubuntu
http://askubuntu.com/

Cross-validated: THE statistical forum
http://stats.stackexchange.com/

For all math-related questions
http://math.stackexchange.com/

Mathoverflow (for questions of mathematical interest only)
http://mathoverflow.net/

C / C++ programming

I used this tutorial to learn
http://www.cplusplus.com/doc/tutorial/

Linked lists and the likes
http://cslibrary.stanford.edu/

GNU Scientific library
http://www.gnu.org/software/gsl/

Memory checking: Valgrind will find your faulty pointers
http://valgrind.org/