2014, Vitolo, Claudia, Elkhatib, Yehia, Reusser, Dominik, Macleod, Christopher J.A., Buytaert, Wouter

Recent evolutions in computing science and web technology provide the environmental community with continuously expanding resources for data collection and analysis that pose unprecedented challenges to the design of analysis methods, workflows, and interaction with data sets. In the light of the recent UK Research Council funded Environmental Virtual Observatory pilot project, this paper gives an overview of currently available implementations related to web-based technologies for processing large and heterogeneous datasets and discuss their relevance within the context of environmental data processing, simulation and prediction. We found that, the processing of the simple datasets used in the pilot proved to be relatively straightforward using a combination of R, RPy2, PyWPS and PostgreSQL. However, the use of NoSQL databases and more versatile frameworks such as OGC standard based implementations may provide a wider and more flexible set of features that particularly facilitate working with larger volumes and more heterogeneous data sources.

2013, Reusser, Dominik, Lissner, Tabea, Pradhan, Prajal, Holsten, Anne, Rybski, Diego, Kropp, Jürgen P.

We explore the link between improvements in human development and greenhouse gas emission. We argue that a disaggregated view on human development is required to understand the potential for decoupling of development from greenhouse gas emissions. To do so, we relate 16 elements from the livelihood index to emissions. Improvements in livelihood are decoupled from emissions for 10 elements, while only 6 are related to significant emissions. We operate the proposed framework for the example of food consumption and related emissions and find a reduction potential of about 13% compared to the total emissions from this sector.