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magpiencgains

https://github.com/pik-piam/magpiencgains

Science Score: 26.0%

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    Low similarity (8.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: pik-piam
  • Language: R
  • Default Branch: main
  • Size: 2.29 MB
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 5 years ago · Last pushed over 5 years ago
Metadata Files
Readme Zenodo

README.md

Easy conversion MAgPIE nc to GAINS mapping

R package MagpieNCGains, version 1.0.3

Purpose and Functionality

Converts NC generated from MAgPIE outputs to GAINS mapping.

Installation

For installation of the most recent package version an additional repository has to be added in R:

r options(repos = c(CRAN = "@CRAN@", pik = "https://rse.pik-potsdam.de/r/packages")) The additional repository can be made available permanently by adding the line above to a file called .Rprofile stored in the home folder of your system (Sys.glob("~") in R returns the home directory).

After that the most recent version of the package can be installed using install.packages:

r install.packages("MagpieNCGains")

Package updates can be installed using update.packages (make sure that the additional repository has been added before running that command):

r update.packages()

Questions / Problems

In case of questions / problems please contact David Meng-Chuen Chen david.chen@pik-potsdam.de.

Citation

To cite package MagpieNCGains in publications use:

Chen D (2020). MagpieNCGains: Easy conversion MAgPIE nc to GAINS mapping. R package version 1.0.3.

A BibTeX entry for LaTeX users is

latex @Manual{, title = {MagpieNCGains: Easy conversion MAgPIE nc to GAINS mapping}, author = {David Meng-Chuen Chen}, year = {2020}, note = {R package version 1.0.3}, }

Owner

  • Name: Potsdam Integrated Assessment Modelling (PIAM)
  • Login: pik-piam
  • Kind: organization
  • Location: Potsdam Institute for Climate Impact Research (PIK), Germany

Tools developed for use with data and models related to PIK's research.

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david chen c****n@g****m 2

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Dependencies

DESCRIPTION cran
  • data.table * imports
  • dplyr * imports
  • methods * imports
  • ncdf4 * imports
  • raster * imports
  • readxl * imports
  • tibble * imports
  • tidyr * imports