DATA to Insight

SIX WORLD SERIES

OBJECTIVES:
  • present the basics of R
  • use R for time series visualization and analysis
  • analyze six global time series since 1950
  • explore the Great Acceleration.

GLOBAL
SERIES
VARIABLE
NAME
UNITSMEASUREMENT SOURCE
1. solar irradiance solar wpm2 watts per square meter U.Colo>SORCE>TSI
2. temperature temp celsius anomaly degrees Celsius NASA>GISS
3. precipitation precip mmpd anomaly millimeters per day NOAA>ESRL>PSD
4. population pop billion billion humans US Census
5. emissions emissions gton gigatons carbon per year LundU.>ICOS>GCP
6. atmospheric CO2 CO2 ppm parts per million NOAA>ESRL>GMD

The data: ldecola.net/projects/global/series.csv

R script: ldecola.net/projects/global/workshop.R (subject to change!)

DC satRdays 2020 demo (19 minutes)

References

Shumway, R. H. and D. S. Stoffer (2019) Time series: a data analysis approach using R. Boca Raton, CRC Press, Taylor & Francis.

Venables, W. N. and B. D. Ripley (2010) Modern applied statistics with S-PLUS. New York, Springer-Verlag. (Chapter 14)

US National Research Council (2011) Understanding Earth's deep past.