EBP and data analysis

[ Analysis section | GBIF Spatial Dataset Browser | GBIF Species Population Trend | Species Reachness application | eLab ]


Analysis section of EBP

To facilitate data analysis to a range of end users (including researchers, policy-level users, other biodiversity stakeholders), European Biodiversity Portal provides  an easy access to insights in biodiversity trends and modelling, through visualisation modules and infographics.

Analysis section is envisaged as a repository of analysis tools of interest for the final users. Visualisation of the status and trends of EBV candidates such as “Species distribution” and “Species abundance” are facilitated using the Spatial Dataset Browser  and the Species Population Trend Browser.
Other analytical interfaces include the Species richness and the Biodiversity Indicator Analytics Dashboard. Via the virtual laboratory, eLab, researchers can work on the same project, share documents and use the same web interface, while configuring the deployment of tools in such a way that privacy is ensured. RStudio and other analytical tools can be added and configured using technologies such as Openshift and Docker.


GBIF Spatial Dataset Browser

This browser helps user to identify and access datasets of interest when generating Essential Biodiversity Variables (EBVs) for species distribution.More about EBVs can be found on GEO BON portal. A user can zoom in and out and obtain datasets per polygon. The year range can be changed too. The browser utilises the data from GBIF repository.


GBIF Species Population Trend

This tool is intended to help users determine if GBIF mediated data is likely to be suitable for deriving species population trends. The tool allows a user to navigate to a location and timespan of interest, and then it provides an analysis showing if the population for the species is in decline or increase. This analysis involves normalizing the data for the species against all data collected for the group (e.g. Lepidoptera). By normalizing against the group, the analysis attempts to compensate for biases in sampling effort. In many cases this will work well, but in other cases this may provide misleading insights – however, by providing a transparent view of the process, the user can judge if there appears to be sufficient data to investigate further.

Both visualisations (Spatial Dataset Browser and the Species Population Trend Browser) support the identification of EBVs and can improve forecasting and the development of early warning systems, aiding policy makers to develop evidence-based conservation strategies, while providing clear visualisation of priority issues to mobilise public support for their implementation.


Species richness application

The tool utilises GBIF data in order to compute a spatial and temporal distribution of higher taxa. A user inputs higer taxon, spatial extent and resolution, temporal extent and resolution. Final result is a map showing layers of grids divided into cells of user-specified size where each cell contains information about number of records in the area bound by the cell in specific year. The tool is usable for birds, mammals, frogs, bony fish, beetles, butterflies and moths, mushrooms, and vascular plants.

Several analytical use cases are also available in this section, e.g. Loxodonta Africana dashboard, Lepidoptera dashboards.



eLab is a virtual working environment that offer services to share and collaborate in teams, but also specific tools (SaaS - Software as a Service) deployed in the Doñana Biological Station hybrid cloud.  Particular tools could be added to the eLabs engine (tools using "docker", a runtime for executing applications almost like virtual machines). Other tools can be configured, sharing its definition among eLabs, but deploying an instance per eLab (to ensure data privacy among labs).

The list of tools encompasses GeoNetwork, RStudio, and Juypter R, Python and Matlab notebooks, the latter ones useful to run scripts in a server from a web interface. The RStudio instance deployed is part of the Mirroreum EU BON product, and will act as showcase of R scripts and analyses generated under the EU BON umbrella. Several R packages, scripts and demos are already available at the Mirroreum RStudio instance.

The user can access and use after registering at the site.