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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>.

Version: 0.8.3
Depends: R (≥ 3.5)
Imports: Rcpp, RcppParallel, stats, parallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, svglite, ggplot2, cli, sf, areaOfEffect, ape, iNEXT, betapart, cluster
Published: 2026-06-20
DOI: 10.32614/CRAN.package.spacc
Author: Gilles Colling ORCID iD [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051 at gmail.com>
BugReports: https://github.com/gcol33/spacc/issues
License: MIT + file LICENSE
URL: https://gillescolling.com/spacc/, https://github.com/gcol33/spacc
NeedsCompilation: yes
SystemRequirements: GNU make
Language: en-US
Citation: spacc citation info
Materials: README, NEWS
CRAN checks: spacc results

Documentation:

Reference manual: spacc.html , spacc.pdf
Vignettes: Community Assembly and Turnover (source, R code)
Diversity Accumulation (source, R code)
Extrapolation and Species-Area Models (source, R code)
Getting Started with spacc (source, R code)
Rarefaction and Standardization (source, R code)
Richness Estimation and Completeness (source, R code)
Spatial Analysis: Endemism, Fragmentation, and SAR (source, R code)

Downloads:

Package source: spacc_0.8.3.tar.gz
Windows binaries: r-devel: spacc_0.8.3.zip, r-release: spacc_0.8.3.zip, r-oldrel: spacc_0.8.3.zip
macOS binaries: r-release (arm64): spacc_0.8.3.tgz, r-oldrel (arm64): spacc_0.8.3.tgz, r-release (x86_64): spacc_0.8.3.tgz, r-oldrel (x86_64): spacc_0.8.3.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spacc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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