windExample: Wind Point Observations
In rcage: Regionalization of Multiscale Spatial Processes
windExample R Documentation
Wind Point Observations
Description
This data set is a sample of ocean surface wind data with observations from
2 February 2005 at 12:00 Universal Coordinated Time over the Mediterranean Sea
using the QuickSCAT scatterometer. Provided only to facilitate
illustrative examples.
Usage
data(windExample)
Format
windExample contains 3 objects
- windPt
A SpatialPointsDataFrame containing 6916 points. The
data.frame contains only one column, "vel", the observed wind velocity.
- windPoly
A SpatialPolygonsDataFrame containing 4551 areas. The
data.frame contains only one column, "vel", the observed wind velocity.
- windGrid
A SptialPolygons object providing a 0.5 degree grid
that covers the measurement area of the Mediterranean Sea.
References
Milliff, R., Bonazzi, A., Wikle,C., Pinardi,N. and Berliner, L.
(2011). Ocean ensemble forecasting: Part I, Ensemble
Mediterranean winds from a Bayesian hierarchical model. Quarterly Journal of
the Royal Meteorological Society, 137, 858–878.
Wikle, C. K., Milliff, R. F., Herbei, R., and Leeds, W. B., (2013).
Modern statistical methods in oceanography: A hierarchical perspective.
Statistical Science, 28, 466-486. DOI: 10.1214/13-STS436
rcage documentation built on June 7, 2022, 1:07 a.m.
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| windExample | R Documentation |
Wind Point Observations
Description
This data set is a sample of ocean surface wind data with observations from 2 February 2005 at 12:00 Universal Coordinated Time over the Mediterranean Sea using the QuickSCAT scatterometer. Provided only to facilitate illustrative examples.
Usage
data(windExample)
Format
windExample contains 3 objects
- windPt
A SpatialPointsDataFrame containing 6916 points. The data.frame contains only one column, "vel", the observed wind velocity.
- windPoly
A SpatialPolygonsDataFrame containing 4551 areas. The data.frame contains only one column, "vel", the observed wind velocity.
- windGrid
A SptialPolygons object providing a 0.5 degree grid that covers the measurement area of the Mediterranean Sea.
References
Milliff, R., Bonazzi, A., Wikle,C., Pinardi,N. and Berliner, L. (2011). Ocean ensemble forecasting: Part I, Ensemble Mediterranean winds from a Bayesian hierarchical model. Quarterly Journal of the Royal Meteorological Society, 137, 858–878.
Wikle, C. K., Milliff, R. F., Herbei, R., and Leeds, W. B., (2013). Modern statistical methods in oceanography: A hierarchical perspective. Statistical Science, 28, 466-486. DOI: 10.1214/13-STS436
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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