Package: SppTrend 0.5
Mario Mingarro
SppTrend: Analyzing Linear Trends in Species Occurrence Data
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>.
Authors:
SppTrend_0.5.tar.gz
SppTrend_0.5.tar.gz(r-4.7-any)SppTrend_0.5.tar.gz(r-4.6-any)
SppTrend_0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SppTrend/json (API)
| # Install 'SppTrend' in R: |
| install.packages('SppTrend', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:bf72572e28. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 231 | ||
| source / vignettes | OK | 214 | ||
| linux-release-x86_64 | OK | 231 | ||
| wasm-release | OK | 193 |
Exports:get_elevationget_era5_tmeget_fast_infospp_trend_environmentalspp_trend_spatial
Dependencies:classclassIntclicpp11data.tableDBIdplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSpatchworkpillarpkgconfigproxyR6RColorBrewerRcpprlangs2S7scalessfstringistringrterratibbletidyselectunitsutf8vctrsviridisLitewithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract elevation from DEM | get_elevation |
| Extract temperature data from ERA5 NetCDF file | get_era5_tme |
| Quick visual diagnostic of the input data | get_fast_info |
| Analyse Long-Term Environmental Niche Trends Across Species | spp_trend_environmental |
| Analyse Temporal Changes in Species Geographical Position Using ECEF Vector Analysis | spp_trend_spatial |