# Difference between revisions of "Using R to analyze GEOS-Chem data"

From Geos-chem

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I have prepared a tutorial for using R to analyze GEOS-Chem and atmospheric data in the package: | I have prepared a tutorial for using R to analyze GEOS-Chem and atmospheric data in the package: | ||

− | [https://dl.dropbox.com/u/2485687/R_Intro_for_Atmos_Sci.zip R_Intro_for_Atmos_Sci] | + | [https://dl.dropbox.com/u/2485687/R/R_Intro_for_Atmos_Sci.zip R_Intro_for_Atmos_Sci] |

with the tutorial R script file and test data: | with the tutorial R script file and test data: | ||

− | + | R_Intro_1.R | |

+ | R_Intro_2.R | ||

PM25_met_Ohio_201007.txt | PM25_met_Ohio_201007.txt | ||

PM25_T_daily_US_201007.RData | PM25_T_daily_US_201007.RData | ||

and an introductory guide to R for MATLAB users: | and an introductory guide to R for MATLAB users: | ||

− | + | R_for_Matlab_Users.pdf | |

I have also written many R functions suitable for analyzing 2D and 3D GEOS-Chem, EPA and meteorological data in these source files (revised periodically): | I have also written many R functions suitable for analyzing 2D and 3D GEOS-Chem, EPA and meteorological data in these source files (revised periodically): | ||

− | [https://dl.dropbox.com/u/2485687/get_geo.R get_geo.R] (for spatial analysis and visualization: e.g. interpolation, regridding, mapping, etc.) | + | [https://dl.dropbox.com/u/2485687/R/get_geo.R get_geo.R] (for spatial analysis and visualization: e.g. interpolation, regridding, mapping, etc.) |

− | [https://dl.dropbox.com/u/2485687/get_met.R get_met.R] (for handling time series and meteorological data: e.g. moving average, monthly statistics, etc.) | + | [https://dl.dropbox.com/u/2485687/R/get_met.R get_met.R] (for handling time series and meteorological data: e.g. moving average, monthly statistics, etc.) |

− | [https://dl.dropbox.com/u/2485687/get_stat.R get_stat.R] (for statistical and numerical methods: e.g. optimization, regression, cumulative probability, etc.) | + | [https://dl.dropbox.com/u/2485687/R/get_stat.R get_stat.R] (for statistical and numerical methods: e.g. optimization, regression, cumulative probability, etc.) |

− | [https://dl.dropbox.com/u/2485687/get_EPA.R get_EPA.R] (for handling EPA air quality data) | + | [https://dl.dropbox.com/u/2485687/R/get_EPA.R get_EPA.R] (for handling EPA air quality data) |

The files include detailed instructions for each function. They can be used by sourcing in the R environment: | The files include detailed instructions for each function. They can be used by sourcing in the R environment: | ||

> source('get_geo.R') | > source('get_geo.R') | ||

These functions will be revised and updated from time to time. Feel free to download and use! | These functions will be revised and updated from time to time. Feel free to download and use! |

## Revision as of 03:45, 27 August 2014

On this page we include a tutorial about how to use the R programming language to analyze GEOS-Chem data.

**Amos Tai <pkamostai@gmail.com> wrote (Jan 2013):**

I have prepared a tutorial for using R to analyze GEOS-Chem and atmospheric data in the package:

R_Intro_for_Atmos_Sci

with the tutorial R script file and test data:

R_Intro_1.R R_Intro_2.R PM25_met_Ohio_201007.txt PM25_T_daily_US_201007.RData

and an introductory guide to R for MATLAB users:

R_for_Matlab_Users.pdf

I have also written many R functions suitable for analyzing 2D and 3D GEOS-Chem, EPA and meteorological data in these source files (revised periodically):

get_geo.R (for spatial analysis and visualization: e.g. interpolation, regridding, mapping, etc.) get_met.R (for handling time series and meteorological data: e.g. moving average, monthly statistics, etc.) get_stat.R (for statistical and numerical methods: e.g. optimization, regression, cumulative probability, etc.) get_EPA.R (for handling EPA air quality data)

The files include detailed instructions for each function. They can be used by sourcing in the R environment:

> source('get_geo.R')

These functions will be revised and updated from time to time. Feel free to download and use!