Yesterday I gave a guest lecture on animal tracking as part of the masters course “Animal Behaviour, applications for conservation“, at Anglia Ruskin University Cambridge. During my one hour talk I discussed the positive and negative sides of animal tracking and showed how it plays a central role in my research on animal personality and collective behaviour. ∞
With the start of the new academic year 2014-2015, my role as Graduate Research officer of the Graduate committee of Clare College (and Clareity President) has ended. It was a wonderful and diverse year. Next to organising a series of evening seminars where Clare graduates present their work and discuss topics in the humanities or natural sciences, and a full-day research symposium, I set-up a new umbrella organisation with the aim to increase the interdisciplinary discussion at Clare.
Leadership behaviour is affected by social experiences from previous partners and depends on an individual’s personality, as shown by our latest study with three-spined stickleback fish, now published in Behavioral Ecology.
From the political affairs we see on the news, to making decisions with your friends, leadership is all around us. But next to humans, leaders and followers can also be found in many group-living animals, such as fish, birds, and primates.
Social animals may receive benefits from grouping such as protection from predators and help in finding food. But to ensure individuals reap the benefits of grouping, they must time and coordinate their behaviour with the emergence of potential leaders and followers as a result.
In my previous post I showed a fully interactive online graph of one of the plots in my recent paper on leadership in sticklebacks. In this follow-up post I will explain how to easily create such an interactive plot yourself. To be able to do this you will need some experience with the R-language and ideally with ggplot2.
First create an account at plot.ly, which is free. After you have created your account, go to “settings” and click on “generate API key”. You will need your username and this key to link your account to R.
Now you have your account ready start-up R and set-up the R workspace:
# Install the necessary packages
# Now load the packages
# Set your Plotly user credentials
I’m always looking for ways to make my science more interactive with the public. What better way then to visualise your data and to make them dynamic and playable! I recently found out about Plot.ly, a website that enables you to create very beautiful plots that are fully customisable and embeddable and allow manipulation and interaction from your website visitors.
What I particularly like is its link with ggplot2 in R. With some simple lines of code you can easily make a plot you created for your scientific publication interactive and online. As an example, I will create an online interactive version of one of the plots in my recent paper on leadership in sticklebacks:
Here is the online interactive version. Hover over the point and try to drag the plot or zoom in and out:
Continuing on from yesterday’s post about the personality testing for boldness, today I made a time-lapse video from one of the sessions to get a quick overview of the actual running of the experiment. For most experiments I work with 40-64 fish per batch and potentially run multiple batches. Therefore, to be able to test all fish on the same day I test 8 fish simultaneously in 8 separate lanes for one hour and run 8 consecutive sessions in a row.