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Exploratory Analysis of RAMP Data

This analysis delves into RAMP data with focus on Pinellas County, revealing results, concerns, and comments. It covers standard deviations, general linear models, covariance matrices, and more.

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Exploratory Analysis of RAMP Data

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  1. Exploratory Analysis of RAMP Data April 15, 2008 Cynthia Meyer, PCDEM

  2. Outline • Examination of Standard Deviations • Analysis Method • General Linear Model • Covariance Matrix • Results-Pinellas County Example • Concerns/Comments

  3. Nitrate + Nitrite (NOX)

  4. Orthophosphate (OP)

  5. Ammonia (NH3)

  6. Total Phosphorus (TP)

  7. Total Kjeldahl Nitrogen (TKN)

  8. Total Suspended Solids (TSS)

  9. Analysis Method General Linear Model Covariance Matrix procglm data = ramp3; class date lab; model TSS= date lab; LSmeans lab / STDERR TDIFF PDIFF COV out= adjmeansTSS; Least Squares Means for Effect Lab t for H0: LSMean(i)=LSMean(j) / Pr > |t| alpha=0.05

  10. Results- Pinellas County

  11. Results- Pinellas County

  12. Results - Summary • Pinellas County significantly differs from - City of Tampa (7) - Manatee County (6) - Lee County (5) • Pinellas County not significantly differs from - FDEP Sanders Lab & FDEP SW (0) - Cape Coral, City of Cape Coral, EPCHC, FDEP Central, Mote, Polk County (1)

  13. Results - Summary Pinellas County Parameter Results

  14. Concerns • Unknown concentration • Who’s right/wrong? Don’t know! • All comparisons are relative to the mean • The sampling mean is relative to the true mean • What are the sources of variance? • What are the sources of variance?

  15. Comments • Are we meeting the RAMP objectives? • Can we improve our methods/analysis? • Should the data be analyzed more frequently?

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