|
|
(4 intermediate revisions by one other user not shown) |
Line 1: |
Line 1: |
− | On this page we include a tutorial about how to use the R programming language to analyze GEOS-Chem data.
| + | #REDIRECT [[Other_tools_for_visualizing_and_analyzing_GEOS-Chem_output#R-language_software_tools]] |
− | | + | |
− | '''''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:
| + | |
− | [https://dl.dropbox.com/u/2485687/R_Intro_for_Atmos_Sci.zip 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 Jan 2013):
| + | |
− | [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_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)
| + | |
− | 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!
| + | |