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: |
0.1.2 |
| 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 |
Documentation:
Downloads:
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