Apply Statistical Post-Processing to Improve Sea Ice Predictions

Tools for modeling and correcting biases in sea ice predictions obtained from dynamical models. This package depends on the 'ncdf4' and 'rgeos' R packages. These packages respectively require installing externally from R Unidata's 'NetCDF' library and Geometry Engine - Open Source ('GEOS'). (See the 'rgeos' and 'ncdf4' packages for details.) References, Bivand and Rundel (2017) < https://CRAN.R-project.org/package=rgeos>, Open Source Geospatial Foundation (2017) < https://trac.osgeo.org/geos>, Pierce (2017) < https://CRAN.R-project.org/package=ncdf4>, Unidata (2017) < https://www.unidata.ucar.edu/software/netcdf/>.


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install.packages("IceCast")

1.2.0 by Hannah M. Director, 2 years ago


Browse source code at https://github.com/cran/IceCast


Authors: Hannah M. Director , Adrian E. Raftery , and Cecilia M. Bitz


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ncdf4, maptools, MASS, raster, methods, utils

Depends on rgeos, sp

Suggests geosphere, fields, knitr, rmarkdown


See at CRAN