akima: Interpolation of Irregularly and Regularly Spaced Data

Several cubic spline interpolation methods of H. Akima for irregular and regular gridded data are available through this package, both for the bivariate case (irregular data: ACM 761, regular data: ACM 760) and univariate case (ACM 433 and ACM 697). Linear interpolation of irregular gridded data is also covered by reusing D. J. Renkas triangulation code which is part of Akimas Fortran code. A bilinear interpolator for regular grids was also added for comparison with the bicubic interpolator on regular grids.

Version: 0.6-2
Depends: R (≥ 2.0.0)
Imports: sp
Published: 2016-12-20
Author: Hiroshi Akima [aut, cph] (Fortran code (TOMS 760, 761, 697 and 433)), Albrecht Gebhardt [aut, cre, cph] (R port (interp* functions), bicubic* functions), Thomas Petzold [ctb, cph] (aspline function), Martin Maechler [ctb, cph] (interp2xyz function + enhancements), YYYY Association for Computing Machinery, Inc. [cph] (covers code from TOMS 760, 761, 697 and 433)
Maintainer: Albrecht Gebhardt <albrecht.gebhardt at aau.at>
License: ACM | file LICENSE
NeedsCompilation: yes
Materials: README ChangeLog
In views: NumericalMathematics, Spatial
CRAN checks: akima results


Reference manual: akima.pdf
Package source: akima_0.6-2.tar.gz
Windows binaries: r-devel: akima_0.6-2.zip, r-release: akima_0.6-2.zip, r-oldrel: akima_0.6-2.zip
OS X binaries: r-release: akima_0.6-2.tgz, r-oldrel: akima_0.6-2.tgz
Old sources: akima archive

Reverse dependencies:

Reverse depends: DATforDCEMRI
Reverse imports: spikeSlabGAM
Reverse suggests: adegenet, asbio, bamlss, BayesX, BiodiversityR, broom, DataVisualizations, DiceEval, dynaTree, EDR, elasticIsing, erpR, evd, fBasics, fdasrvf, fMultivar, fractal, gam, laGP, locfit, mlrMBO, oce, ParamHelpers, plgp, portes, pre, ProFound, quantreg, R2BayesX, randomForestSRC, rerddap, rgr, rpanel, sm, VdgRsm, vegdata, XGR


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