Ecosystem service research content analysis

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:

Droste N, D’Amato D, Goddard JJ (2018) Where communities intermingle, diversity grows – The evolution of topics in ecosystem service research.

has been published in PLoS ONE 13(9): e0204749. doi: 10.1371/journal.pone.0204749

Here you find an html presentation based on Rmarkdown.