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

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On this page we include a tutorial about how to use the R programming language to analyze GEOS-Chem data.
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#REDIRECT [[Other_tools_for_visualizing_and_analyzing_GEOS-Chem_output#R-language_software_tools]]
 
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'''''Amos Tai <pkamostai@gmail.com> wrote (Jan 2013):'''''
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I have prepared a tutorial for using R to analyze GEOS-Chem and atmospheric data in the package:
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  [https://dl.dropbox.com/u/2485687/R/R_Intro_for_Atmos_Sci.zip R_Intro_for_Atmos_Sci]
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with the tutorial R script file and test data:
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  R_Intro_1.R
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  R_Intro_2.R
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  PM25_met_Ohio_201007.txt
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  PM25_T_daily_US_201007.RData
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and an introductory guide to R for MATLAB users:
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  R_for_Matlab_Users.pdf
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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):
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  [https://dl.dropbox.com/u/2485687/R/get_geo.R get_geo.R] (for spatial analysis and visualization: e.g. interpolation, regridding, mapping, etc.)
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  [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.)
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  [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.)
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  [https://dl.dropbox.com/u/2485687/R/get_EPA.R get_EPA.R] (for handling EPA air quality data)
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The files include detailed instructions for each function. They can be used by sourcing in the R environment:
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  > source('get_geo.R')
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These functions will be revised and updated from time to time. Feel free to download and use!
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Latest revision as of 17:13, 14 June 2019