Nils Droste a personal page

Ecosystem service research content analysis

letting the data speak: Latent Dirichlet Allocation

We have analyzed topics in ecosystem service research through a fancy unsupervised machine learning algorithm developed by Blei et al. (2003), called Latent Dirichlet Allocation, which we use to analyze how the content has developed and changed over three time periods from 1990 to 2016.

The interactive plots for the subset periods can be found here:

1990-2000, 2001-2010, and 2011-2016

The visuals are based on ldavis, an R package.

To get an idea of how to interpret these plots you can check out statgraphics’ video:

Our analytical code in R can be found here.

The resulting paper:

Nils Droste, Dalia D’Amato, Jessica J Goddard (2017) The evolution of topics in ecosystem service research.

is in preparation for submission.

Read the draft.

Let us know what you think.