The data set consists of total precipitations during March 2016 recorded over 1053 locations on the continental part of USA.

Format

A SpatialPointsDataFrame with 1053 observations on the following 6 variables:

y

total precipitations (square-root of rainfall inches),

WBAN

five-digit Weather station identifier,

state

factor containing the U.S. state,

and the following attributes:

labels

list with data and variable labels,

border

SpatialPolygons with the boundary of the continental part of USA,

interior

SpatialPolygons with the U.S. state boundaries.

Source

National Climatic Data Center:
https://www.ncdc.noaa.gov/cdo-web/datasets.

References

Fernandez-Casal R., Castillo-Paez S. and Francisco-Fernandez M. (2017) Nonparametric geostatistical risk mapping, Stoch. Environ. Res. Ris. Assess., doi:10.1007/s00477-017-1407-y .

Fernandez-Casal R., Castillo-Paez S. and Garcia-Soidan P. (2017) Nonparametric estimation of the small-scale variability of heteroscedastic spatial processes, Spa. Sta., doi:10.1016/j.spasta.2017.04.001 .

Examples

summary(precipitation)
#>                 Length                  Class                   Mode 
#>                   1053 SpatialPointsDataFrame                     S4 
scattersplot(precipitation)