precipitation

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

datasets

Multidimensional nonparametric spatial (spatio-temporal) geostatistics.
S3 classes and methods for multidimensional: linear binning,
local polynomial kernel regression (spatial trend estimation), density and variogram estimation.
Nonparametric methods for simultaneous inference on both spatial trend
and variogram functions (for spatial processes).
Nonparametric residual kriging (spatial prediction).
For details on these methods see, for example, Fernandez-Casal and Francisco-Fernandez (2014)
<doi:10.1007/s00477-013-0817-8> or Castillo-Paez et al. (2019) <doi:10.1016/j.csda.2019.01.017>.

Ruben FernandezCasal

npsp

Nonparametric Spatial Statistics

Ruben Fernandez-Casal

precipitation function

A <code><a href="/link/SpatialPointsDataFrame?package=npsp&version=0.7-13" data-mini-rdoc="npsp::SpatialPointsDataFrame">SpatialPointsDataFrame</a></code> with 1053 observations on the 
following 6 variables:<dl>
 <dt>y</dt>
<dd>total precipitations (square-root of rainfall inches),</dd> <dt>WBAN</dt>
<dd>five-digit Weather station identifier,</dd> <dt>state</dt>
<dd>factor containing the U.S. state,</dd>
</dl>and the following <code><a href="/link/attributes?package=npsp&version=0.7-13" data-mini-rdoc="npsp::attributes">attributes</a></code>:<dl>
 <dt>labels</dt>
<dd>list with data and variable labels,</dd> <dt>border</dt>
<dd><code><a href="/link/SpatialPolygons?package=npsp&version=0.7-13" data-mini-rdoc="npsp::SpatialPolygons">SpatialPolygons</a></code> with the boundary
 of the continental part of USA,</dd> <dt>interior</dt>
<dd><code><a href="/link/SpatialPolygons?package=npsp&version=0.7-13" data-mini-rdoc="npsp::SpatialPolygons">SpatialPolygons</a></code> with the U.S. state boundaries.</dd>
</dl>

Format

Precipitation data — precipitation

A <code><a href='https://rdrr.io/pkg/sp/man/SpatialGridDataFrame-class.html'>SpatialPointsDataFrame</a></code> with 1053 observations on the 
following 6 variables:<dl>
 <dt>y</dt>
<dd>total precipitations (square-root of rainfall inches),</dd>

 <dt>WBAN</dt>
<dd>five-digit Weather station identifier,</dd>

 <dt>state</dt>
<dd>factor containing the U.S. state,</dd>


</dl>and the following <code><a href='https://rdrr.io/r/base/attributes.html'>attributes</a></code>:<dl>
 <dt>labels</dt>
<dd>list with data and variable labels,</dd>

 <dt>border</dt>
<dd><code><a href='https://rdrr.io/pkg/sp/man/SpatialPolygons.html'>SpatialPolygons</a></code> with the boundary
 of the continental part of USA,</dd>

 <dt>interior</dt>
<dd><code><a href='https://rdrr.io/pkg/sp/man/SpatialPolygons.html'>SpatialPolygons</a></code> with the U.S. state boundaries.</dd>


</dl>

precipitation: Precipitation data

Description

Arguments

Format

References

Examples