Visualising time series of physical, chemical and biological data is a key component to understanding the dynamics of the Celtic Sea ecosystem. With the EPA Tipping Points Data Visualisation tool, we’ve linked a user-interface to a back-end database containing the data. This allows the data to be investigated visually in a variety of ways (zoomable time seires plots, heat maps, multiple variables together). This is achieved via drop-down menus using the R Shiny package (http://shiny.rstudio.com/). Here we can see some screen shots of what to expect:
Heat maps are particularly useful to visualise data that vary seasonally. For example, note how the seasonal peak in the Atlantic Multidecadal Oscillation has varied year-to-year in addition to the long-term dynamics of this variable.
Some of the fish data display remarkable changes over time, for example, with the average sampled length at age 3 of Atlantic herring decreasing from 28cm in the mid-70s to 25cm in 2000 with aparent abrupt changes (1986).
In the next few months we plan on expanding the database to other taxa, find neat ways of visualising many complex physical and ecological time series together. Of course visualisation is important, but we’ll be developing and applying powerful multivariate time series analysis to investigate drivers of observed changes at multiple time scales (decadal, seasonal, abrupt changes). So watch this space!