Jon Skoien

Jon Skoien

6 packages on CRAN

intamap

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Provides classes and methods for automated spatial interpolation.

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Includes additional functionality for spatial interpolation in the intamap package, such as bias correction and network optimization.

rtop

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Geostatistical interpolation of data with irregular spatial support such as runoff related data or data from administrative units.

fortunes

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A collection of fortunes from the R community.

psgp

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Implements projected sparse Gaussian process Kriging (Ingram 'et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the 'intamap' package. More details on implementation (Barillec 'et. al.', 2010, <doi:10.1016/j.cageo.2010.05.008>).

spsann

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Methods to optimize sample configurations using spatial simulated annealing. Multiple objective functions are implemented for various purposes, such as variogram estimation, spatial trend estimation and spatial interpolation. A general purpose spatial simulated annealing function enables the user to define his/her own objective function. Solutions for augmenting existing sample configurations and solving multi-objective optimization problems are available as well.