The format is a list with components:
"longitude" "latitude" "precip" "elevation" "precipSE" "trend" "trendSE" "type" "x.s" "sProjection"
with elevation in meters, longitude as (-180,180), latitude as (-90, 90) and precipitaion in 1/10 mm
( precip/254 converts to inches of rainfall)
precip is the intercept for 1980.5 when a straight line least squares regression is fit to
each station's record. SE is the companion standard error from the least squares fit.
If the station is complete, then precip and precipSE will just be the mean and standard deviation adjusted for a linear trend. The estimated trend trend and and its standard error trendSE are also included.
Also due to the centering, for complete data the intercept and trend estimate will be uncorrelated. The component type indicates whether the station has been "adjusted" (see below) or is still in
"unadjusted" form.
x.s is a useful transformation of locations into stereographic coordinates that reduces the
inflation of North Canada due to the usual lon/lat coordinates. Specifically it is found by:
library(mapproj)
xStereo<- mapproject( NorthAmericanRainfall$lon,NorthAmericanRainfall$lat, projection="stereographic")
NorthAmericanRainfall$x.s<- cbind( xStereo$x, xStereo$y)
NorthAmericanRainfall$projection<- .Last.projection
Use NorthAmericanRainfall$orientation to access the stereographic projection orientation.