Atmospheric environmental conditions in New York City

Daily measurements of ozone concentration, wind speed, temperature and solar radiation in New York City from May to September of 1973.

Usage

environmental

Format

A data frame with 111 observations on the following 4 variables.

ozone: Average ozone concentration (of hourly measurements) of in parts per billion.
radiation: Solar radiation (from 08:00 to 12:00) in langleys.
temperature: Maximum daily emperature in degrees Fahrenheit.
wind: Average wind speed (at 07:00 and 10:00) in miles per hour.

Source

Bruntz, S. M., W. S. Cleveland, B. Kleiner, and J. L. Warner. (1974). The Dependence of Ambient Ozone on Solar Radiation, Wind, Temperature, and Mixing Height. In Symposium on Atmospheric Diffusion and Air Pollution, pages 125–128. American Meterological Society, Boston.

Author

Documentation contributed by Kevin Wright.

References

Cleveland, William S. (1993) Visualizing Data. Hobart Press, Summit, New Jersey.

Examples

# Scatter plot matrix with loess lines
splom(~environmental,
  panel=function(x,y){
    panel.xyplot(x,y)
    panel.loess(x,y)
  }
)



# Conditioned plot similar to figure 5.3 from Cleveland
attach(environmental)
Temperature <- equal.count(temperature, 4, 1/2)
Wind <- equal.count(wind, 4, 1/2)
xyplot((ozone^(1/3)) ~ radiation | Temperature * Wind,
  aspect=1,
  prepanel = function(x, y) 
    prepanel.loess(x, y, span = 1),
  panel = function(x, y){
    panel.grid(h = 2, v = 2)
    panel.xyplot(x, y, cex = .5)
    panel.loess(x, y, span = 1)
  },
  xlab = "Solar radiation (langleys)",
  ylab = "Ozone (cube root ppb)")

detach()

# Similar display using the coplot function
with(environmental,{
  coplot((ozone^.33) ~ radiation | temperature * wind,
  number=c(4,4),
  panel = function(x, y, ...) panel.smooth(x, y, span = .8, ...),
  xlab="Solar radiation (langleys)",
  ylab="Ozone (cube root ppb)")
})