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@article{Vitolo:2014:10.1016/j.envsoft.2014.10.007,
author = {Vitolo, C},
doi = {10.1016/j.envsoft.2014.10.007},
journal = {Environmental Modelling & Software},
pages = {185--198},
title = {Web technologies for environmental Big Data},
url = {http://dx.doi.org/10.1016/j.envsoft.2014.10.007},
volume = {63},
year = {2014}
}
TY - JOUR
AB - 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.
AU - Vitolo,C
DO - 10.1016/j.envsoft.2014.10.007
EP - 198
PY - 2014///
SN - 1364-8152
SP - 185
TI - Web technologies for environmental Big Data
T2 - Environmental Modelling & Software
UR - http://dx.doi.org/10.1016/j.envsoft.2014.10.007
UR - http://www.imperial.ac.uk/people/c.vitolo
UR - http://hdl.handle.net/10044/1/18282
VL - 63
ER -
Climate Science
Earth and Life Sciences
Energy and Low-Carbon Futures
Resources and Pollution
Economics and Finance
Health
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