Exploring an Ozone Spatial Time Series in the Frequency Domain
本文对臭氧测量的空间时间序列进行探索性数据分析，引入频域技术来图形化展示与CFC问题相关的全球长期趋势，说明频域方法在探索空间时间序列中的有效性。
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.