Spatial Component Analysis for Spatial Sequencing Data R package SPACO version 1.0.1 Spatial components offer tools for dimension reduction and spatially variable gene detection for high dimensional spatial transcriptomics data. Construction of a projection onto low-dimensional feature space of spatially dependent metagenes offers pre-processing to clustering, testing for spatial variability and denoising of spatial expression patterns. For more details, see Koehler et al. (2026) <doi:10.1093/bioinformatics/btag052>. Software Depends: R (>= 4.2.3) Imports: ggplot2, Seurat (>= 5.3.0), tibble, ggforce, methods, rARPACK, tidyr, mgcv, scales, Matrix (>= 1.5) LinkingTo: Rcpp, RcppEigen Suggests: testthat (>= 3.0.0) David Köhler <koehler@imbie.uni-bonn.de> Comprehensive R Archive Network (CRAN) David Köhler [aut, cre] (ORCID: <https://orcid.org/0009-0006-0027-4046>) MIT + file LICENSE (https://CRAN.R-project.org/package=SPACO/LICENSE) 2026-03-31 application/tgz https://CRAN.R-project.org/package=SPACO doi:10.32614/CRAN.package.SPACO