Package: akima 0.6-3.4
Albrecht Gebhardt
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.
Authors:
akima_0.6-3.4.tar.gz
akima_0.6-3.4.tar.gz(r-4.5-noble)akima_0.6-3.4.tar.gz(r-4.4-noble)
akima_0.6-3.4.tgz(r-4.4-emscripten)akima_0.6-3.4.tgz(r-4.3-emscripten)
akima.pdf |akima.html✨
akima/json (API)
# Install 'akima' in R: |
install.packages('akima', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:c0fc49f095. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 05 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 05 2024 |
Exports:asplinebicubicbicubic.gridbilinearbilinear.gridfranke.datafranke.fninterpinterp.newinterp.oldinterp2xyzinterppinterpp.newinterpp.old
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Waveform Distortion Data for Bivariate Interpolation | akima |
Sample data from Akima's Bicubic Spline Interpolation code (TOMS 760) | akima760 |
Univariate Akima interpolation | aspline |
Bivariate Interpolation for Data on a Rectangular grid | bicubic |
Bicubic Interpolation for Data on a Rectangular grid | bicubic.grid |
Bilinear Interpolation for Data on a Rectangular grid | bilinear |
Bilinear Interpolation for Data on a Rectangular grid | bilinear.grid |
Test datasets from Franke for interpolation of scattered data | franke franke.data franke.fn |
Gridded Bivariate Interpolation for Irregular Data | interp |
Gridded Bivariate Interpolation for Irregular Data | interp.new interp.old |
From interp() Result, Produce 3-column Matrix | interp2xyz |
Pointwise Bivariate Interpolation for Irregular Data | interpp |
Pointwise Bivariate Interpolation for Irregular Data | interpp.new interpp.old |