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One of the powerful figures in the article. Here we see figure 4 a  which shows predicted change from 2010 to 2100 based on future CanESM 2 data. The values shown here are mean predicted relative occurrence indeces (ROI) pooled over all 38 species that were modeled out. Warm colours show high predicted change and cool colours show lower change. The general trends of our study indicate a decline in ROI predictions for 2100. We think this represents an indication for a declining habitat quality and decreasing distribution range for traditional Antarctica species. One can see that eastern Antarctic waters are predicted to be among the most affected regions of change.mean change figure

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November 23rd, 2016

#ggforce for accelerating #ggplot2 in #dataviz

November 20th, 2016

November 16th, 2016

ggplot2 2.2.0 #dataviz #R #datascience @rstudio

November 16th, 2016

ggedit add-on for #ggplot2 #dataviz #R #datascience

August 27th, 2016

#R Packages for #Data Access

August 16th, 2016

Getting Your Colleagues Hooked on #R

August 14th, 2016

Convolutional #neuralnetwork in #R (MXNet package) #MachineLearning #DataScience

June 3rd, 2016

Mad Hatter Explains Support Vector Machines #scicomm #machinelearning #SVM #datascience

May 11th, 2016

What’s the difference between machine learning, statistics, and data mining?

April 6th, 2016

Plotter app for interactive plotting of ggplots, on shinyapps.io or locally.