Environments Through Time – weeks 2 & 3

November 19, 2017
WDG

Britte reconfiguring the chronology for Lake Pata

Britte reconfiguring the chronology for Lake Pata

The second and third weeks of the Environments Through Time course at the University of Amsterdam has focused on obtaining practical experience of developing chronologies, analyzing multi-variate data-sets, and conducting time series analysis. The focus of the course has been on Quaternary environmental change, however, the skills learnt can be applied to almost any time-scale so long as you have time control points you want to tie together, and multiple things you can track changing through that time.

Over the two week period the students worked on a previously published paper that they had selected that contains: (i) chronological information (at least 3 control points), and (ii) multiple variables that change through the time series (at least 9 variables). In week two they deconstructed the chronologies and generated their own revised versions. For example students have (re-)calibrated radiocarbon dates, made different decisions on dates to include/exclude, and used different approaches to constructing the age vs. depth model, e.g. contrasting linear point-to-point vs. Bayesian methodologies. In week three they have taken the data-set(s) associated with their paper and re-evaluated it in light of the revised chronologies using cluster analysis, ordination techniques, and wavelets.

The joy of wavletes

The joy of wavletes

Through this exercise students have gained experience of how to critically assess scientific literature and gained an appreciation of where re-analysis of data-sets can (and cannot) make a difference. Personally I have be delighted with the high level of engagement and enthusiasm for the material and have been excited to have a chance to delve into literature that I would not otherwise be aware of.

For more information on this course see: Environments Through Time – week 1

 

Matthews-Bird, F., Brooks, S.J., Holden, P.B., Montoya, E. & Gosling, W.D. (2016) Inferring late-Holocene climate in the Ecuadorian Andes using a chironomid-based temperature inference model. Climate of the Past 12, 1263-1280. DOI: 10.5194/cp-12-1263-2016

Quantifying late-Holocene climate in the Ecuadorian Andes using a chironomid-based temperature inference model

January 21, 2016
WDG

midge headOur latest manuscript has just been made available, via Climate of the Past Discussions, for comment and review. Click here to check it out. We look forward to hearing what people think.

Quantifying late-Holocene climate in the Ecuadorian Andes using a chironomid-based temperature inference model
Matthews-Bird, F., Brooks, S.J., Holden, P.B., Montoya, E. & Gosling, W.D.

Abstract below

Continue Reading

Blog at WordPress.com.