Changes between Version 66 and Version 67 of udg/ecoms/RPackage


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Timestamp:
Dec 1, 2017 10:58:27 AM (3 years ago)
Author:
gutierjm
Comment:

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  • udg/ecoms/RPackage

    v66 v67  
    1313Since the [http://www.r-project.org/ R] language has been adopted for some key tasks in the EUPORIAS and SPECS projects (including the development of comprehensive validation and statistical-downscaling packages), `loadeR.ECOMS` is envisaged as a user-friendly, R-based interface to the ECOMS User Data Gateway, enabling [http://meteo.unican.es/trac/wiki/udg/ecoms/RPackage/authentication authentication] and remote access to the different datasets (seasonal forecasting, observations, reanalysis) currently available (take a look at the [wiki:../dataserver/catalog available datasets and variables]). Moreover, `loadeR.ECOMS` implements data homogenization (a single vocabulary) and time filtering/aggregation in a transparent way for the user, and it is seamlessly integrated with the [http://github.com/SantanderMetGroup/downscaleR/wiki downscaleR] package for downscaling/bias correction and other climate data post-processing.
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    15 `loadeR.ECOMS` extends the [https://github.com/SantanderMetGroup/loadeR/wiki loadeR] package, which in turn relies on the powerful capabilities of the [http://www.unidata.ucar.edu/downloads/netcdf/netcdf-java-4/index.jsp Unidata's netCDF Java library].
     15`loadeR.ECOMS` extends the [https://github.com/SantanderMetGroup/loadeR/wiki loadeR] package, which in turn relies on the powerful capabilities of the [http://www.unidata.ucar.edu/downloads/netcdf/netcdf-java-4/index.jsp Unidata's netCDF Java library]. These packages are part of the [http://www.meteo.unican.es/software/climate4r climate4R] bundle for Climate Data Access and Postprocessing.
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     17`loadeR.ECOMS` is available from [https://github.com/SantanderMetGroup/loadeR.ECOMS GitHub] 
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    1719{{{#!comment