Interpolation of Irregularly and Regularly Spaced Data
Released Dec 20, 2016 by 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)
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.
This package can be included as a dependency from a Java or Scala project by including
the following your project's
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>akima</artifactId> <version>0.6-2-b4</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
If you're using Renjin from the command line, you load this library by invoking:
This package was last tested against Renjin 0.8.2346 on Mar 18, 2017.