Category: teaching

  • Review: “Forest Analytics with R: an introduction”

    Review: “Forest Analytics with R: an introduction”

    Forestry is the province of variability. From a spatial point of view this variability ranges from within-tree variation (e.g. modeling wood properties) to billions of trees growing in millions of hectares (e.g. forest inventory). From a temporal point of view we can deal with daily variation in a physiological model to many decades in an…

  • R’s increasing popularity. Should we care?

    R’s increasing popularity. Should we care?

    Some people will say ‘you have to learn R if you want to get a job doing statistics/data science’. I say bullshit, you have to learn statistics and learn to work in a variety of languages if you want to be any good, beyond getting a job today coding in R. R4stats has a recent…

  • On the destruction of a trial of genetically modified pines

    The media in New Zealand briefly covered the destruction of a trial with genetically modified pines (Pinus radiata D. Don, vulgar name Radiata pine, Monterey pine) near Rotorua. This is not the first time that Luddites destroy a trial, ignoring that they have been established following regulations from the Environmental Protection Agency. Most people have…

  • Early-February flotsam

    Mike Croucher at Walking Randomly points out an interesting difference in operator precedence for several mathematical packages to evaluate a simple operation 2^3^4. It is pretty much a divide between Matlab and Excel (does the later qualify as mathematical software?) on one side with result 4096 (or (2^3)^4) and Mathematica, R and Python on the…

  • Mid-January flotsam: teaching edition

    Mid-January flotsam: teaching edition

    I was thinking about new material that I will use for teaching this coming semester (starting the third week of February) and suddenly compiled the following list of links: