High-Performance Open-Source Archive
Provides a comparative framework to detect species-specific spatial and thermal responses to climate change using opportunistic occurrence data. Species temporal trends in geographic position (via Earth-Centred Earth-Fixed vector analysis) and environmental variables (temperature and elevation) are contrasted against the overall trend of the complete dataset, allowing classification of species into ecologically interpretable response categories. Approach described in Lobo et al. (2023) <doi:10.1002/ece3.10674>.
| Version: | 0.5 |
| Imports: | data.table, dplyr, ggplot2, patchwork, sf, stats, stringr, terra |
| Suggests: | testthat (≥ 3.0.0), devtools |
| Published: | 2026-06-29 |
| DOI: | 10.32614/CRAN.package.SppTrend |
| Author: | Mario Mingarro |
| Maintainer: | Mario Mingarro <mario_mingarro at mncn.csic.es> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | SppTrend results |
| Reference manual: | SppTrend.html , SppTrend.pdf |
| Package source: | SppTrend_0.5.tar.gz |
| Windows binaries: | r-devel: SppTrend_0.5.zip, r-release: SppTrend_0.5.zip, r-oldrel: SppTrend_0.5.zip |
| macOS binaries: | r-release (arm64): SppTrend_0.5.tgz, r-oldrel (arm64): SppTrend_0.5.tgz, r-release (x86_64): SppTrend_0.5.tgz, r-oldrel (x86_64): SppTrend_0.5.tgz |
| Old sources: | SppTrend archive |
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