Category Archives: transfer function

Count-less chironomids?

Most papers that present microfossil assemblages report (not always accurately) the minimum number of microfossils that were counted in each sample, an important indicator of the precision of the data. Some do not. For these papers, the reader should be … Continue reading

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Autocorrelation in the testate amoeba calibration set

Amesbury et al examine the autocorrelation in their huge calibration set. I thought I would do the same, increasing the resolution of the analysis to get a better handle on what is going on. This is an RNE plot. It … Continue reading

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Testing testate amoeba: some comments on Amesbury et al (2018)

Today, I have been reading and thinking about a new paper presenting a huge testate-amoeba calibration set for reconstructing water table depth in bogs (Amesbury et al 2018). This calibration set, with almost 2000 samples, is the synthesis of many … Continue reading

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Introducing ggpalaeo

I’ve put some code I used for plotting figures for my soon-to-be-resubmitted manuscript into a package because I thought it might be useful to others. The main use of ggpalaeo is to make ggplot2 plots of transfer function diagnostics from … Continue reading

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Chironomids are cunning wee beasties

Since I had examined almost every aspect of the data from the remarkable Lake Żabińskie chironomid-inferred August air temperature reconstruction, some time last summer I thought that I would, for completeness, have a quick look at the instrumental temperature data. … Continue reading

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A mean wind blows over Lake Żabińskie

I have largely neglected the chrysophyte-inferred reconstructions of winter severity and summer calcium concentrations/zonal wind speed from Lake Żabińskie even though they fall within the scope of my review of sub-decadal resolution reconstructions. This is not because I think this … Continue reading

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Pollen from the garden of forking paths

Most transfer functions for reconstructing past environmental changes are based on a calibration-in-space approach, with a modern calibration set of paired microfossil assemblages and environmental data. The alternative approach is calibration-in-time, with well-dated fossil assemblages and contemporaneous environmental data. I’ve … Continue reading

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