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The Joy of Fortran

Well, maybe “joy” is a strong word. But over the past couple of days, I’ve been programming in Fortran a bit for the first time in about two years. Fortran, for the uninitiated, is the oldest...

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Fractal Landscapes in R

The past few days I’ve gone on a bit of a fractals kick. It’s partly been motivated by the recent passing of Benoit Mandelbrot, the iconoclastic mathematical genius who coined the term “fractal” and...

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Fractal Landscapes in R: Part Two

My last post showed how, with some simple R code, it is possible to generate a surprisingly realistic mountainous profile, as if seen on the horizon. This was done by taking a two points, calculating...

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Queensland Rain: Quick ‘n’ Dirty Climatology

My last post, on the connection between the equatorial Pacific Ocean and the floods in Eastern Australia, closed with a graph of the Southern Oscillation Index (SOI) over the past 40 years, and with an...

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DIY Scale Dependence

What’s the big deal about “scale?” It’s a word that I’ve written about before here, and one that certain types of ecologists can’t seem to stop talking about. But it can be an infuratingly vague word...

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A Very Short Introduction to Time Series

Last week, I gave a presentation on the basics of time series statistics to an informal group of students in biology, forestry, and fisheries who meet every week to share tips and talk over problems...

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Must it be Santa? A case study in Bayesian updating

Ah, Christmas eve. A magical day when we reflect on the deep questions. Is there anything more valuable than family togetherness? What is the true meaning of the season? Who is that strange man...

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Programming: the Legos of Math

Why should you learn to program? In my (limited) experience in the world of marine science, fisheries, and ecology, programming is more and more becoming part of the expected tool set. Consequently,...

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The Julia Language is the Way of the Future

Recent surveys have shown that the R Language for statistical computing is undergoing an explosion in popularity among scientists, researchers, and other data-analyzing types. There are good reasons...

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