Functions for converting time series of spatial abundance or density data in raster format to vector fields of population movement using the digital image correlation technique. More specifically, the functions in the package compute cross-covariance using discrete fast Fourier transforms for computational efficiency. Vectors in vector fields point in the direction of highest two dimensional cross-covariance. The package has a novel implementation of the digital image correlation algorithm that is designed to detect persistent directional movement when image time series extend beyond a sequence of two raster images.
Version: | 0.1.2 |
Depends: | R (≥ 2.10) |
Imports: | fftwtools, Rcpp, terra (≥ 1.5-21) |
LinkingTo: | Rcpp |
Suggests: | ggnewscale, ggplot2, knitr, metR, ncf, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2022-02-26 |
DOI: | 10.32614/CRAN.package.ICvectorfields |
Author: | Devin Goodsman [aut, cre] |
Maintainer: | Devin Goodsman <goodsman at ualberta.ca> |
BugReports: | https://github.com/goodsman/ICvectorfields/issues |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | ICvectorfields results |
Reference manual: | ICvectorfields.pdf |
Vignettes: |
ICvectorfields: Producing vector fields from spatial time series data |
Package source: | ICvectorfields_0.1.2.tar.gz |
Windows binaries: | r-devel: ICvectorfields_0.1.2.zip, r-release: ICvectorfields_0.1.2.zip, r-oldrel: ICvectorfields_0.1.2.zip |
macOS binaries: | r-release (arm64): ICvectorfields_0.1.2.tgz, r-oldrel (arm64): ICvectorfields_0.1.2.tgz, r-release (x86_64): ICvectorfields_0.1.2.tgz, r-oldrel (x86_64): ICvectorfields_0.1.2.tgz |
Old sources: | ICvectorfields archive |
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