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Data Manipulation Steps

Data Manipulation Steps. EPA’s 1996 U.S. Emissions Data. Get, File, and Interpret Data. Find data – EPA website – 3 relevant files for criteria pollutants http://www.epa.gov/ttn/chief/net/index.html MS Access (final size 2GB)

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Data Manipulation Steps

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  1. Data Manipulation Steps EPA’s 1996 U.S. Emissions Data

  2. Get, File, and Interpret Data • Find data – EPA website – 3 relevant files for criteria pollutants http://www.epa.gov/ttn/chief/net/index.html • MS Access (final size 2GB) • Metadata – 1996 NATIONAL EMISSION TRENDS (NET) PC INVENTORY FILE FORMAT • Source Classification Code - Divisions • County Location

  3. Organizing Data • Relationships • continually designing – build on queries • one-to-many • Append Data • Reduce Data • Make Table

  4. Reducing Data • Sum Pollutant by County, SCC-division • First Group By: location: [FIPSST] & [FIPSCNTY] • Then Group By: SCC_DIV • Take Sum: SO2_ANN

  5. ArcView • Joined Data Tables with ArcView’s County Files • location code (connected to data) = FIPS code (connected to ‘shape file’ or pictorial representation of county) • Mapped Pollutants (emission tons per unit area of county

  6. Future Analysis • major contributors to criteria pollutants • factors important in emissions estimates • annual emissions comparison by source category, pollutant 1970-1998: http://www.epa.gov/ttn/chief/trends/trends98/tr98appa.xls • understanding spatial trends

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