environmental Atmospheric environmental conditions in New York City

Description

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.

Author(s)

Documentation contributed by Kevin Wright.

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.

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)")
})