Package: interp 1.1-6
Albrecht Gebhardt
interp: Interpolation Methods
Bivariate data interpolation on regular and irregular grids, either linear or using splines are the main part of this package. It is intended to provide FOSS replacement functions for the ACM licensed akima::interp and tripack::tri.mesh functions. Linear interpolation is implemented in interp::interp(..., method="linear"), this corresponds to the call akima::interp(..., linear=TRUE) which is the default setting and covers most of akima::interp use cases in depending packages. A re-implementation of Akimas irregular grid spline interpolation (akima::interp(..., linear=FALSE)) is now also available via interp::interp(..., method="akima"). Estimators for partial derivatives are now also available in interp::locpoly(), these are a prerequisite for the spline interpolation. The basic part is a GPLed triangulation algorithm (sweep hull algorithm by David Sinclair) providing the starting point for the irregular grid interpolator. As side effect this algorithm is also used to provide replacements for almost all functions of the tripack package which also suffers from the same ACM license restrictions. All functions are designed to be backward compatible with their akima / tripack counterparts.
Authors:
interp_1.1-6.tar.gz
interp_1.1-6.tar.gz(r-4.5-noble)interp_1.1-6.tar.gz(r-4.4-noble)
interp_1.1-6.tgz(r-4.4-emscripten)interp_1.1-6.tgz(r-4.3-emscripten)
interp.pdf |interp.html✨
interp/json (API)
# Install 'interp' in R: |
install.packages('interp', 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 10 months agofrom:37daa5f869. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-linux-x86_64 | OK | Nov 22 2024 |
Exports:arcsareaasplineaSplinebicubicbicubic.gridbilinearBiLinearbilinear.gridBiLinear.gridcellscirclescircumcircumcircleconvex.hullConvexHullfranke.datafranke.fnidentify.triShtin.convex.hullinterpinterp2xyzinterppleftlocpolynearest.neighboursneighboursonon.convex.hullouter.convhullplot.triShtplot.voronoiplot.voronoi.polygonsprint.summary.triShtprint.summary.voronoiprint.triShtprint.voronoisummary.triShtsummary.voronoitri.findtri.meshtrianglestriSht2trivoronoi.areavoronoi.findrejectsitesvoronoi.mosaicvoronoi.polygons
Interpolation
Rendered frominterp.Rnw
usingutils::Sweave
on Nov 22 2024.Last update: 2023-03-31
Started: 2023-03-31
Local polynomial regression in two variables applied to estimating partial derivatives
Rendered frompartDeriv.Rnw
usingutils::Sweave
on Nov 22 2024.Last update: 2023-03-31
Started: 2022-07-13
Triangulation of irregular spaced data
Rendered fromtri.Rnw
usingutils::Sweave
on Nov 22 2024.Last update: 2023-03-31
Started: 2023-03-31