Package: SESraster 0.7.1
SESraster: Raster Randomization for Null Hypothesis Testing
Randomization of presence/absence species distribution raster data with or without including spatial structure for calculating standardized effect sizes and testing null hypothesis. The randomization algorithms are based on classical algorithms for matrices (Gotelli 2000, <doi:10.2307/177478>) implemented for raster data.
Authors:
SESraster_0.7.1.tar.gz
SESraster_0.7.1.zip(r-4.5)SESraster_0.7.1.zip(r-4.4)SESraster_0.7.1.zip(r-4.3)
SESraster_0.7.1.tgz(r-4.4-any)SESraster_0.7.1.tgz(r-4.3-any)
SESraster_0.7.1.tar.gz(r-4.5-noble)SESraster_0.7.1.tar.gz(r-4.4-noble)
SESraster_0.7.1.tgz(r-4.4-emscripten)SESraster_0.7.1.tgz(r-4.3-emscripten)
SESraster.pdf |SESraster.html✨
SESraster/json (API)
NEWS
| # Install 'SESraster' in R: |
| install.packages('SESraster', repos = c('https://hemingnm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hemingnm/sesraster/issues
null-modelsrandomizationrasterspatialspatial-analysisspecies-distribution-modelling
Last updated 1 months agofrom:214f53d1a4. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:algorithm_metricsbootspat_ffbootspat_naivebootspat_strfit.memoryfr2probload_ext_dataplot_alg_metricsSESraster
Null model algorithms
Rendered fromnull-models.Rmdusingknitr::rmarkdownon Nov 20 2024.Last update: 2023-07-21
Started: 2023-07-17
Spatial null model algorithms in SESraster
Rendered fromspatial-null-models.Rmdusingknitr::rmarkdownon Nov 20 2024.Last update: 2023-07-20
Started: 2023-07-17
Standardized effect sizes
Rendered fromSES.Rmdusingknitr::rmarkdownon Nov 20 2024.Last update: 2023-07-17
Started: 2023-07-17
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Performance of randomization algorithms | algorithm_metrics |
| Spatially structured fixed-fixed sample | bootspat_ff |
| Randomize a set of rasters according to the observed frequency. | bootspat_naive |
| Spatially structured sample | bootspat_str |
| Function to evaluate if the rasters generated in the function fit on RAM memory | fit.memory |
| Adjust probability of sampling based on frequency of occurrences. | fr2prob |
| Load SESraster external datasets | load_ext_data |
| Plot performance of randomization algorithms | plot_alg_metrics |
| Standardized effect sizes for SpatRaster objects | SESraster |
