The PM10.dat data frame is a subset of data analyzed in Hamm
et al. (2015) and Datta et al. (2016). Data comprise April 6, 2010
square root transformed PM10 measurements across
central Europe with corresponding output from the LOTOS-EUROS Schaap et
al. (2008) chemistry transport model (CTM). CTM data may differ
slightly from that considered in the studies noted above due to LOTOS-EUROS CTM
code updates. A NA value is given
at CTM output locations were PM10 is not
observed. Point coordinates are in
"+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=km +no_defs".
data(PM10.dat)Columns for PM10.dat:
x.coord = x coordinate (see projection information in the description)
y.coord = y coordinate (see projection information in the description)
pm10.obs = square root transformed PM10 measurements at
monitoring stations (NA means there is not a station at the
given location)
pm10.ctm = square root transformed PM10 from CTM
Datta A., S. Banerjee, A.O. Finley, N. Hamm, and M. Schaap (2016). Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis. Annals of Applied Statistics, 10(3), 1286--1316. ISSN 1932-6157. doi:10.1214/16-AOAS931.
Hamm N. A.O. Finley, M. Schaap, A. Stein (2015). A Spatially Varying Coefficient Model for Mapping PM10 Air Quality at the European scale. Atmospheric Environment, 102, 393--405.
Schaap M., R.M.A Timmermans, M. Roemer, G.A.C. Boersen, P. Builtjes, F. Sauter, G. Velders, J. Beck (2008). The LOTOS-EUROS Model: Description, Validation and Latest Developments. International Journal of Environment and Pollution, 32(2), 270--290.