ICvectorfields: Vector Fields from Spatial Time Series of Population Abundance

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: 0.1.1
Depends: R (≥ 2.10)
Imports: fftwtools, Rcpp, terra (≥ 1.3-22)
LinkingTo: Rcpp
Suggests: ggnewscale, ggplot2, knitr, metR, ncf, rmarkdown, testthat (≥ 3.0.0)
Published: 2021-10-06
Author: Devin Goodsman ORCID iD [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_0.1.1.tar.gz
Windows binaries: r-devel: ICvectorfields_0.1.1.zip, r-devel-UCRT: ICvectorfields_0.1.1.zip, r-release: ICvectorfields_0.1.1.zip, r-oldrel: ICvectorfields_0.1.0.zip
macOS binaries: r-release (arm64): ICvectorfields_0.1.0.tgz, r-release (x86_64): ICvectorfields_0.1.1.tgz, r-oldrel: ICvectorfields_0.1.1.tgz
Old sources: ICvectorfields archive


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