From time, to time, I find myself creating reference sheets that provide an overview of a topic for my own personal use. I make these available to anybody who finds them useful. I make every attempt to be accurate and provide appropriate references, but I don't make guarantees. Also, the writing style is terse and there is no significant effort at good grammar, etc. They are strictly AS IS. Any corrections or feedback would be appreciated (firstname.lastname@example.org).
All documents are in PDF format for use with Adobe Acrobat. If you don't currently have this you can donwload from Adobe's site.
All such documents are copyrighted with restrictions on use.
© 1998 Brian McGill. You are free to download the documents below and use them in electronic or paper form for your personal use. You are not allowed to transfer either an electronic or a paper copy to another person. You may refer other people to this web site.
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Provides a roughly 10 page review of major results in game theory. Mostly emphasizes discrete strategies (i.e. matrix games).
Provides a five page overview and a one page cheat sheet on the emerging field of adaptive dynamics (aka continuous trait game theory). Summarizes results from a lot of different papers.
R statistical language
PHP programming language
perl programming language
HTML web markup language
I have become increasingly enamored with the open stack (GDAL/OGR+POSTGIS+QGIS) as a GIS environment.
However there are few a holes to fall into. So I hope to post from time to time solutions that are a lot harder
to figure out than they should be.
I was shocked to find out just how hard a simple GIS operation - zonal statistics - was to do. After a lot of google searching I came up with some fairly complex solutions, many of which quietly turned floats into integers or were inaccurate on the borders or relied on commands not yet released in PostGIS.
Tutorial on how to do zonal statistics in PostGIS
This is a roughly 60 page summary/tutorial/introduction to the mathematical tools an ecologist
needs (in my opinion). It was intended for nonmathematicians (but who have taken calculus). These are
lecture notes, so they might be a little terse in places, but they are intended to be comprehensive. You will note I
never quite finished my outlined topics (stochastic processes is incomplete and static measures (fractals, stats) is
not there at all. WARNING: the symbols for R - the set of real numbers and Z the set of integers got turned into squares and triangles
in conversion to PDF and I haven't yet taken the time to track down the problem.
I use MATLAB for most of my day-in-day-out work. I teach statistics using R. For the most part, I am happy
using MATLAB (if only because its what I know best), but two features of R that I really miss in MATLAB are: