Package: escheR Title: Unified multi-dimensional visualizations with Gestalt principles Version: 1.13.0 Authors@R: c( person("Boyi", "Guo", email = "boyi.guo.work@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2950-2349")), person(c("Stephanie", "C."), "Hicks", role = c("aut"), email = "shicks19@jhu.edu", comment = c(ORCID = "0000-0002-7858-0231")), person(c("Erik", "D."), "Nelson", email = "erik.nelson116@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0001-8477-0982")) ) Description: The creation of effective visualizations is a fundamental component of data analysis. In biomedical research, new challenges are emerging to visualize multi-dimensional data in a 2D space, but current data visualization tools have limited capabilities. To address this problem, we leverage Gestalt principles to improve the design and interpretability of multi-dimensional data in 2D data visualizations, layering aesthetics to display multiple variables. The proposed visualization can be applied to spatially-resolved transcriptomics data, but also broadly to data visualized in 2D space, such as embedding visualizations. We provide this open source R package escheR, which is built off of the state-of-the-art ggplot2 visualization framework and can be seamlessly integrated into genomics toolboxes and workflows. License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 biocViews: Spatial, SingleCell, Transcriptomics, Visualization, Software Depends: ggplot2, R (>= 4.3) Imports: SpatialExperiment (>= 1.6.1), SingleCellExperiment, rlang, SummarizedExperiment BugReports: https://github.com/boyiguo1/escheR/issues URL: https://github.com/boyiguo1/escheR Suggests: STexampleData, BumpyMatrix, knitr, rmarkdown, BiocStyle, ggpubr, scran, scater, scuttle, Seurat, hexbin VignetteBuilder: knitr Config/pak/sysreqs: libmagick++-dev gsfonts libicu-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 13:00:23 UTC RemoteUrl: https://github.com/bioc/escheR RemoteRef: HEAD RemoteSha: 67f778c50b4c456429637ac5a93b9e51be13ef12 NeedsCompilation: no Packaged: 2026-07-04 23:07:39 UTC; root Author: Boyi Guo [aut, cre] (ORCID: ), Stephanie C. Hicks [aut] (ORCID: ), Erik D. Nelson [ctb] (ORCID: ) Maintainer: Boyi Guo