Package: spacc 0.8.3
spacc: Fast Spatial Species Accumulation Curves
High-performance spatial species accumulation curves using nearest-neighbor algorithms. Implements 'kNN' and 'kNCN' sampling methods with a 'C++' backend for speed. Supports Hill numbers (q=0,1,2), beta diversity partitioning (turnover/nestedness), coverage-based rarefaction and extrapolation, phylogenetic diversity (Faith's PD, mean pairwise distance, mean nearest taxon distance), functional diversity accumulation, diversity-area relationships (DAR), endemism-area curves, sampling-effort correction and fragmentation analysis, and species-area relationship (SAR) models based on extreme value theory (EVT). Multiple starting points (seeds) provide uncertainty quantification. Methods are described in 'Chao' et al. (2014) <doi:10.1890/13-0133.1>, 'Baselga' (2010) <doi:10.1111/j.1466-8238.2009.00490.x>, 'Chao' and 'Jost' (2012) <doi:10.1890/11-1952.1>, 'Faith' (1992) <doi:10.1016/0006-3207(92)91201-3>, 'Ma' (2018) <doi:10.1002/ece3.4526>, 'Borda-de-Agua' et al. (2025) <doi:10.1038/s41467-025-59239-7>, 'Hanski' et al. (2013) <doi:10.1073/pnas.1311190110>, and 'Jost' (2007) <doi:10.1890/06-1736.1>.
Authors:
spacc_0.8.3.tar.gz
spacc_0.8.3.tar.gz(r-4.7-arm64)spacc_0.8.3.tar.gz(r-4.7-x86_64)spacc_0.8.3.tar.gz(r-4.6-arm64)spacc_0.8.3.tar.gz(r-4.6-x86_64)
spacc_0.8.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
spacc/json (API)
NEWS
| # Install 'spacc' in R: |
| install.packages('spacc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gcol33/spacc/issues
Pkgdown/docs site:https://gillescolling.com
Last updated from:075fd1c458. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 202 | ||
| linux-devel-x86_64 | OK | 221 | ||
| source / vignettes | OK | 312 | ||
| linux-release-arm64 | OK | 198 | ||
| linux-release-x86_64 | OK | 213 | ||
| wasm-release | OK | 157 |
Exports:acealphaDiversityas_sfbetaDecaybootstrap_richnesschao1chao2colemancollectorcomparecompareModelscompletenessProfiledardistanceDecaydistancesdiversityPartitiondiversityProfilediversityProfileFuncdiversityProfilePhyloevennessextrapolateextrapolateCoveragegammaDiversityiChao1iChao2interpolateCoveragejackknifemao_taurarefysessesarssfarspaccspaccBetaspaccBetaFuncspaccBetaPhylospaccCoveragespaccDiversityspaccEndemismspaccFuncspaccHillspaccHillBetaspaccHillCoveragespaccMetricsspaccPhylospatialEigenvectorsspatialPartitionspatialRarefactionsubsamplewavefrontzetaDiversity
Dependencies:RcppRcppParallel
Community Assembly and Turnover
Rendered fromcommunity-assembly.Rmdusingknitr::rmarkdownon Jun 20 2026.Last update: 2026-06-20
Started: 2026-06-20
Diversity Accumulation
Rendered fromdiversity.Rmdusingknitr::rmarkdownon Jun 20 2026.Last update: 2026-06-20
Started: 2026-06-20
Extrapolation and Species-Area Models
Rendered fromextrapolation.Rmdusingknitr::rmarkdownon Jun 20 2026.Last update: 2026-06-20
Started: 2026-06-20
Getting Started with spacc
Rendered fromquickstart.Rmdusingknitr::rmarkdownon Jun 20 2026.Last update: 2026-06-20
Started: 2026-06-20
Rarefaction and Standardization
Rendered fromrarefaction-standardization.Rmdusingknitr::rmarkdownon Jun 20 2026.Last update: 2026-06-20
Started: 2026-06-20
Richness Estimation and Completeness
Rendered fromrichness-estimation.Rmdusingknitr::rmarkdownon Jun 20 2026.Last update: 2026-06-20
Started: 2026-06-20
Spatial Analysis: Endemism, Fragmentation, and SAR
Rendered fromspatial-analysis.Rmdusingknitr::rmarkdownon Jun 20 2026.Last update: 2026-06-20
Started: 2026-06-20
