Package: ICvectorfields
Title: Vector Fields from Spatial Time Series of Population Abundance
Version: 0.1.2
Authors@R: 
    person(given = "Devin",
           family = "Goodsman",
           role = c("aut", "cre"),
           email = "goodsman@ualberta.ca",
           comment = c(ORCID = "https://orcid.org/0000-0003-1935-5779"))
Description: 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. 
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Suggests: ggnewscale, ggplot2, knitr, metR, ncf, rmarkdown, testthat
        (>= 3.0.0)
Config/testthat/edition: 3
Imports: fftwtools, Rcpp, terra (>= 1.5-21)
Depends: R (>= 2.10)
VignetteBuilder: knitr
BugReports: https://github.com/goodsman/ICvectorfields/issues
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-02-26 22:09:45 UTC; goods
Author: Devin Goodsman [aut, cre] (<https://orcid.org/0000-0003-1935-5779>)
Maintainer: Devin Goodsman <goodsman@ualberta.ca>
Repository: CRAN
Date/Publication: 2022-02-26 22:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 19:38:11 UTC; unix
Archs: ICvectorfields.so.dSYM
