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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("akima")

0.6-2 by Albrecht Gebhardt, 2 years ago


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


Authors: 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)


Documentation:   PDF Manual  


Task views: Numerical Mathematics, Analysis of Spatial Data


ACM | file LICENSE license


Imports sp


Imported by spikeSlabGAM.

Depended on by DATforDCEMRI.

Suggested by BayesX, BiodiversityR, DataVisualizations, DiceEval, EDR, ParamHelpers, ProFound, R2BayesX, VdgRsm, adegenet, asbio, bamlss, broom, dynaTree, elasticIsing, erpR, evd, fBasics, fMultivar, fdasrvf, fractal, gam, laGP, locfit, mlrMBO, oce, plgp, portes, pre, quantreg, randomForestSRC, rerddap, rgr, rpanel, shotGroups, sm, vegdata.


See at CRAN