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Data Pre-processing and Visualization for Improved Data Quality

Learn how to pre-process and visualize data to ensure data quality and consistency. This script example focuses on integrating and assessing eddy covariance, meteorological, and soil data sampled at different frequencies. Gain valuable skills in data analysis and visualization techniques.

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Data Pre-processing and Visualization for Improved Data Quality

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  1. Skill Sharing:How to pre-process and visualize data GLEON Fellowship Workshop January 14-18, 2013 Sunapee, NH AlineJaimes

  2. Application to data • Use eddy covariance data from my research station in New Mexico. Source: Jornada experimental range Source: Missouri Botanical Garden

  3. Application to data • Main challenges • To integrate 3 data tables sampled at different frequencies • 10Hz – flux data • 30min – meteorological data • 1min – soil data

  4. This script is an example of how to pre-process and visualize data to assess data quality.

  5. Skill relevance/usefulness • Assessing quality and status of data sets is a tedious but important work towards data integration. • Having a automated script to repeat the process will ensure consistency throughout the data set.

  6. Data visualization • 2D and scatterplotColormaps Time-of-the-day DOY

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