Science Inventory

Quality Assurance Information for R Packages "aqfig" and "M3"

Citation:

SWALL, J. Quality Assurance Information for R Packages "aqfig" and "M3". U.S. Environmental Protection Agency, Washington, DC, EPA/600/C-11/005, 2011.

Impact/Purpose:

The National Exposure Research Laboratory′s (NERL′s) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA′s mission to protect human health and the environment. AMAD′s research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the Nation′s air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.

Description:

R packages “aqfig" and “M3" are optional modules for use with R statistical software (http://www.r-project.org). Package “aqfig" contains functions to aid users in the preparation of publication-quality figures for the display of air quality and other environmental data (e.g., legends of color schemes, preserving the aspect ratio of a plot, color scatterplots for spatial data, etc.). The functions in package “M3" allow users to read in and subset output from Models3-formatted files (e.g., CMAQ output files) and to transform data from one map projection to another. The functions in “m3" replace the most-often used function in the old “RMET" packages, which were prepared by Battelle under contract several years ago and which are now deprecated.

URLs/Downloads:

Quality Assurance Information for R Packages "aqfig" and "M3"  (PDF, NA pp,  296  KB,  about PDF)

Record Details:

Record Type:DOCUMENT( DATA/SOFTWARE/ SOFTWARE)
Product Published Date:06/16/2011
Record Last Revised:07/12/2011
OMB Category:Other
Record ID: 236048