Abstract
In 1974, atmospheric scientists (Molina and Rowland; Cicerone et al.) first postulated that man-made chemicals known as CFC’s (e.g., freon) deplete the earth’s ozone when released into the atmosphere. This article presents an exploratory data analysis (EDA) of a spatial time series of ozone measurements. Frequency domain techniques for the EDA are introduced and used to graphically display global, long-term trends relevant to the CFC issue. My intention is to illustrate the effectiveness of a frequency domain approach to exploring a spatial time series.
Original language | English (US) |
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Pages (from-to) | 323-331 |
Number of pages | 9 |
Journal | Journal of the American Statistical Association |
Volume | 80 |
Issue number | 390 |
DOIs | |
State | Published - Jun 1985 |
Keywords
- Exploratory data analysis
- Frequency domain
- Ozone
- Spatial time series
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty