Readme file
SERIES C
 Applied Statistics
A Bayesian kriged Kalman filter model for short-term forecasting of air pollution levels, by S. Sahu and K. V. Mardia
Journal of the Royal Statistical Society,
Series C, Applied Statistics, Volume
54 (2005) part 1, 1-20
The data set that is used in the paper is provided in the file nycitydata.txt.
The file has five columns: pm2.5, day, month, lon, and lat.
Here pm2.5 is the PM2.5 concentration level observed on the day of the month of the year 2002 at the location whose longitude and latitude are in the columns lon and lat.
Missing values are marked as "NA". A command such as:
y <- read.table("nycitydata.txt", head=T)
will the data in R or Splus.
S. K. Sahu
School of Mathematics
Southampton Statistical Sciences Research Institute
University of Southampton
Highfield
Southampton
SO17 1BJ
UK
E-mail: S.K.Sahu@maths.soton.ac.uk
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