Getting Started with SAS/IML Studio |
This example shows how you can use SAS/IML Studio to explore data about North Atlantic tropical cyclones. (A cyclone is a large system of winds that rotate about a center of low atmospheric pressure.) The data were recorded by the U.S. National Hurricane Center at six-hour intervals during the years 1988 to 2003.
The example analyzes the following variables:
indicator variable that corresponds to the Saffir-Simpson wind intensity scale
latitude of observation, in degrees north latitude
minimum central sea-level pressure, in hPa
radius of eye (if an eye exists), in nautical miles
maximum low-level sustained wind speed, in knots
The category variable is a measure of wind intensity, corresponding to the Saffir-Simpson wind intensity scale in Table 2.1.
Category |
Description |
Wind Speed (Knots) |
---|---|---|
TD |
Tropical depression |
22–33 |
TS |
Tropical storm |
34–63 |
Cat1 |
Category 1 hurricane |
64–82 |
Cat2 |
Category 2 hurricane |
83–95 |
Cat3 |
Category 3 hurricane |
96–113 |
Cat4 |
Category 4 hurricane |
114–134 |
Cat5 |
Category 5 hurricane |
135 or greater |
The analysis presented in this chapter is based on Mulekar and Kimball (2004) and Kimball and Mulekar (2004). A full description of the Hurricanes data set is included in Appendix A, Sample Data Sets.
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