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I have managed the JULES website since May 2017.
As part of my job at CEH I have assembled all training resources (inc. several of my own) for using JULES into a single Training page there for general use. |
Multivariate Ecological Statistics
I have been lecturing on Generalized Linear Models at Continuing Education, University of Oxford, since 2014.
Our course has run a few times now, always in the format of a 4-day residential course in Oxford, aimed at doctoral and postdoctoral students from around the UK. The current course is called Big Data in Environmental Biology and features lectures from Guido Kraemer from the Max Planck Institut in Jena, Germany, and Thomas Hesselberg from Univ. Oxford as well as presentations from industrial representatives and NERC (this course replaced the Multivariate Ecological Statistics course run with Peter Henderson up to 2016 and has run in February 2018, with a rerun scheduled for March 2020). In every run of this course so far it was oversubscribed and we have had very good feedback from the students.
As a taster, some of my slides about GLMs applied to Ecological data are uploaded here.
Our course has run a few times now, always in the format of a 4-day residential course in Oxford, aimed at doctoral and postdoctoral students from around the UK. The current course is called Big Data in Environmental Biology and features lectures from Guido Kraemer from the Max Planck Institut in Jena, Germany, and Thomas Hesselberg from Univ. Oxford as well as presentations from industrial representatives and NERC (this course replaced the Multivariate Ecological Statistics course run with Peter Henderson up to 2016 and has run in February 2018, with a rerun scheduled for March 2020). In every run of this course so far it was oversubscribed and we have had very good feedback from the students.
As a taster, some of my slides about GLMs applied to Ecological data are uploaded here.
The Friendly Beginners' R Course
Click on the R logo left (or here) → Documentation/Other (left-hand panel) → Contributed Documentation (middle of screen) → Scroll down until you see the "ZIP" next to my name "Marthews" (alternatively, just click here).
Since 2010 this course has been used internally by Earthwatch (with permission) and is also linked to from Climate Research Tools. Additionally, since at least 2011 I noticed it has featured on the website of the University of Wisconsin-Madison (although for some reason they just uploaded a version of the pdf without the example files).
The lecture-based version of this course was last presented by me in May 2014 at NCBS, Bangalore, India, as part of this workshop and in March 2012 at the R workshop in Ecological Data Analysis at the the BESTEG Early Career Researcher Meeting in Silwood, Imperial College London. Informally, I have been through it a few times since then too, and I have a kind of 'part 2' to it as well now (not uploaded).
Although I do admit this course hasn't been updated for a while now, I still recommend it as a relatively painless way to start with R because it is
(i) SHORT (at 14 pages it's fairly quick and most comparable introductions are 100s of pages long) and
(ii) TO-THE-POINT (I don't go through any theory about how R is 'object-oriented' or 'strongly-typed': I just go through examples of how to do things, with example code fragments.
so go download it and try it out! :-)
Since 2010 this course has been used internally by Earthwatch (with permission) and is also linked to from Climate Research Tools. Additionally, since at least 2011 I noticed it has featured on the website of the University of Wisconsin-Madison (although for some reason they just uploaded a version of the pdf without the example files).
The lecture-based version of this course was last presented by me in May 2014 at NCBS, Bangalore, India, as part of this workshop and in March 2012 at the R workshop in Ecological Data Analysis at the the BESTEG Early Career Researcher Meeting in Silwood, Imperial College London. Informally, I have been through it a few times since then too, and I have a kind of 'part 2' to it as well now (not uploaded).
Although I do admit this course hasn't been updated for a while now, I still recommend it as a relatively painless way to start with R because it is
(i) SHORT (at 14 pages it's fairly quick and most comparable introductions are 100s of pages long) and
(ii) TO-THE-POINT (I don't go through any theory about how R is 'object-oriented' or 'strongly-typed': I just go through examples of how to do things, with example code fragments.
so go download it and try it out! :-)
The RAINFOR-GEM Carbon Monitoring Protocols
This is a complete description of the field methods used across the RAINFOR-GEM network of forest census plots, including initial plot set-up and ongoing measurement of ecosystem carbon components including above-ground live biomass, litter, roots, woody debris and various forms of CO2 efflux.
Version 3.0 of the RAINFOR-GEM manual (July 2014) is downloadable from here or the RAINFOR-GEM website (click on Protocol documents on the left). See here for my presentation about these protocols given at the FAO in Jan 2013. - I recorded, with T. Riutta, N. Butt and L. Butt, an online video demonstrating plastic dendrometers in Wytham Woods (2010). - I translated the RAINFOR Field code sheet into Malay with the help of J. Amin, M. Tarongak and K. M. Yusah: link (2011). - Archive version 1.0 of the manual: Metcalfe et al. (2009) - Archive version 2.2 of the manual: Marthews et al. (2012) |
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Tips and Advice for Tropical Rainforest Fieldwork
This was assembled during 2004-11 and is now a short pdf document.
UKCEH Field safety guidelines are here. See here for a VIDEO about the Ecosystem Lab's ongoing fieldwork in Peru in 2013 (where I got a few moments of fame). I was also interviewed (while very tired!) at the Maliau Basin in Sabah, Malaysia, while on fieldwork in 2011 (see here, 19 mins in). |
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UNIX Basics
A quick guide to the most basic UNIX/Linux commands which I put together in 2008, which is also linked to from Climate Research Tools.
Why use UNIX/Linux if you're happy with Windows/Mac? Simply put: (i) If you use anything more than basic computer models you will have to and (ii) I think the UNIX-Haters' Handbook got it right: UNIX is "A horrible system, except that all the other commercial offerings are even worse". |
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