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Visualisation

This Working Group aimed to improve communication and data exchange between QUEST projects and between the projects and users of QUEST science. It produced community contributed tools for visualisation and analysis purposes. It supported QUEST’s data initiative (QESDI) and visualisation activities and drew on recent rapid developments in interactive global mapping software and data and metadata standards.

A community visualisation tool called "Rworldmap" has been developed using open source code in the programming language R. This came as a result from discussions at QUEST's 2009 ASM, where the working group found that the datasets commonly used by QUEST are often defined by country code, and so could be visualised well by maps. It is now possible to take ascii gridded datasets to produce maps, as the example country code map below shows:

Rworldmap code :
map <- joinCountryData2Map(nameJoinColumn = “FreshwaterFish” )
mapCountryData( map, nameColumnToPlot = “FreshwaterFish” )

An Rworld package gives the user new functions, e.g. the ability to specify plots by page and figure and to produce a table colour plot for ranking country attributes. The data for the maps will be available on Rworldmap, through a BADC website interface, where restricted data will only be accessible with a username and password, while lower level data will be freely available. As R and Rworldmap are available for anyone to download, users will have the freedom to experiment with different datasets and produce maps of their own. As part of Rworldmap the figures from the QUEST book (developed as part of the synthesis process) will be also be available online. It is hoped that QUEST data and visualisations will become a valuable and informative resource for scientists, students and policy makers.

Leaders: Pru Foster

QUEST links: All themes, QESDI

Other UK links: BADC, CEFAS

International links: Earth System Atlas

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