Richard Telford’s Blog
@richardjtelford
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- Making a pollen diagram from Neotoma
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Category Archives: Data manipulation
Making a pollen diagram from Neotoma
Last week I gave a course on R for palaeoecologists covering data handling using tidyverse, reproducibility and some some ordinations and transfer functions. One of the exercises was to download some pollen data from Neotoma and make a pollen diagram. … Continue reading
The elevation of Lake Tilo
For my PhD, I studied the palaeolimnology of two lakes in the Ethiopian rift valley, using diatoms to reconstruct changes in the water chemistry of Lake Awassa, an oligosaline caldera lake which retains its low salinity despite having no effluent … Continue reading
Posted in Data manipulation, Palaeohydrology, R, Uncategorized
Tagged lake level, Lake Tilo, Telford and Lamb (1999)
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Merging taxa in assemblage data
One possible reason for the impossible percent values I’ve found in assemblages data is that taxa have been merged in Excel after percent were calculated. Doing anything in Excel is to invite disaster, if nothing else, it is very difficult … Continue reading
Posted in Data manipulation, R
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How many is fifty? Sanity checks for assemblage data.
This week I’m at the Palaeolimnology Symposium in Stockholm this week. I have a couple of presentations. I gave the first this morning to the chironomid “DeadHead” meeting. I showed some sanity checks for assemblage data, some of which are … Continue reading
Statigraphic diagrams with ggplot
rioja::strat.plot is a great tool for plotting stratigraphic plots in R, but sometimes it is not obvious how to do something I want, perhaps a summary panel showing the percent trees/shrubs/herbs. Of course, I could extend strat.plot, but I do … Continue reading
How to calculate percent from counts in R
Micropaleontologists and others often want to calculate percent from count data. From looking at archived data, I realise that what should be an easy process goes wrong far more often that it should (which is of course never). Yesterday, I … Continue reading
Posted in Data manipulation, R
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All the pollen
“And some things that should not have been forgotten were lost. History became legend. Legend became myth. And for two and a half thousand years, the metadata passed out of all knowledge.” A couple of months ago, Eric Grimm gave … Continue reading