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

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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_for_Atmos_Sci.R
+
   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
+
   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!