Publications by Bluecology blog

What does under or over-dispersion look like?

24.06.2017

What does under or over-dispersion look like? One issue that often comes up in analysis with linear models is under or over dispersion. For instance, if you are fitting a linear regression model, you are assuming the residuals (difference between the line of best fit and the data-points) are normally distributed. Residuals are said to be overdisp...

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Data visuals notes for my talks in 2017

25.06.2017

Data visuals 2017 Supplementary notes for CJ Brown’s talks on dataviz in 2017 for Griffith University’s honours students and the UQ Winterschool in Bioinformatics. Skip to the quiz Structure of this talk Tools for dataviz Eleven principles for effective dataviz Breaking the rules Change the world The ideal dataviz tool Sensible and clean d...

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Data visuals notes for my talks in 2017

25.06.2017

Data visuals: notes for my talks in 2017 Supplementary notes for CJ Brown’s talks on dataviz in 2017 for Griffith University’s honours students and the UQ Winterschool in Bioinformatics. Skip to the quiz Visualsing sexual dimorphism in elephant seals I picked this example to demonstrate a simple barchart for representing the sizes of differen...

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What analysis program do conservation scientists use?

20.07.2017

International Congress for Conservation Biology: What analysis program do conservation scientists use? With the International Congress for Conservation Biology starting 23rd July I was wondering, what analysis programs are most commonly used by conservation scientists? And, what do they use for spatial analysis and mapping? To find out, if you ar...

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What are people saying about ICCB2017 on Twitter?

24.07.2017

What are people saying about International Congress for Conservation Biology 2017 on Twitter? Here’s a brief analysis of tweets from the International Congress for Conservation Biology to date. The conference started on the starting 23rd July I was curious to see what people are talking about there and who is doing the talking on twitter. As of...

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Memorable dataviz with the R program, talk awarded people’s choice prize

29.07.2017

“Memorable dataviz with the R program” awarded people’s choice prize For the past two years Dr Nick Hamilton has invited me to give a talk on creating data visuals with the R program at the wonderful UQ Winterschool in Bioinformatics. This year I was lucky enough to be awarded a prize for my talk – best speaker from a mid-career presenter...

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What analysis programs drive conservation science?

31.07.2017

What analysis programs drive conservation science? With the International Congress for Conservation Biology on at the end of July I was wondering, what analysis programs are supporting conservation science? And, what programs support spatial analysis and mapping? I ran a quick poll on my blog (you can take it here) to find out. Here are the resul...

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Impact of the conservation optimism hashtag

03.08.2017

Impact of the conservation optimism hashtag The hashtag #conservationoptimism became popular during the recent International Congress for Conservation Biology symposium. Michael Burgass asked me what its twitter impact was, so here is a quick analysis. Michael also asked about #iamaconservationist, but that has too few tweets so far to make for ...

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seascapemodels.org version 2

07.08.2017

seascapemodels.org version 2 I just (8-8-2017) updated my webpage to version 2 styling. If something is missing that you use, please let me know. Hope you enjoy the new page. Related To leave a comment for the author, please follow the link and comment on their blog: Bluecology blog. R-bloggers.com offers daily e-mail updates about R news and...

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Some thoughts about Bayesian Kriging in INLA

06.09.2017

Some thoughts about Bayesian Kriging in INLA I have been playing around with spatial modelling in the R INLA package. This blog just records a few thoughts I have had about using INLA for kriging (spatial interpolation). I am keen to discuss these ideas with others. Kriging is super useful tool for ‘filling in the gaps’ between sampling sites...

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