Vector Fields from Spatial Time Series of Population Abundance
Overview
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.
- Updated for compatibility with the latest version of terra: extents for rastsers derived from matrices changed
From NEWS.md in the release
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 19
- Examples that run
- 100%18 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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Dependencies
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.2Latest
- 0.1.12021-10-06 · diff ↗
- unarchivedReturned to CRAN2021-09-27
- 0.1.02021-09-27 · diff ↗ ·
added 11 exports
DispMoransI, DispStats, MoransI, PatternDetect, PixelCt, RooksGradient, RooksNeighCt, RooksNeighFind, RotationDetect, SubgridMoransI, SubgridStats - archivedRemoved from CRAN2021-09-09check problems were not corrected in time
- 0.0.22021-06-21 · diff ↗
- 0.0.12021-06-18
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-06-18
- Total releases
- 5 / 5 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.5 MB / 1 file
- Download size
- 1.6 MB
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