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

From Geos-chem

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R_for_MATLAB_Users.pdf | 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 | + | 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/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/get_met.R get_met.R] (for handling time series and meteorological data: e.g. moving average, monthly statistics, etc.) |

## Revision as of 16:02, 9 January 2013

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_for_Atmos_Sci.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!