Package: spacescans
Type: Package
Title: Link Time-Referenced Geolocation Data to the Spatial and
        Contextual Exposome
Version: 0.3.4
Authors@R: c(
    person("Xuguang", "Ai", email = "xuguang.ai@outlook.com", role = c("aut", "cre")),
    person("Regenstrief Institute", role = "aut"))
Description: R client for the 'spacescans' 'Python' pipeline, which
        links time-referenced geolocation data (location episodes of
        study participants) to the spatial and contextual exposome and
        returns one row per participant or per location episode. The
        pipeline runs in a separate 'Python' process that the package
        talks to through JSON request and result files and 'Parquet'
        tables, so a crash or an interrupt in 'Python' never takes the
        R session down. 'ss_install()' builds the 'Python' environment
        with 'uv'.
License: MIT + file LICENSE
URL: https://github.com/IU-Ultraman/spacescans
BugReports: https://github.com/IU-Ultraman/spacescans/issues
Depends: R (>= 4.1.0)
Imports: jsonlite, nanoparquet, processx, ps, stats, tools, utils
Suggests: arrow, bit64, data.table, knitr, markdown, testthat (>=
        3.0.0), withr
VignetteBuilder: knitr
SystemRequirements: Python 3.12 with the 'spacescans' Python package,
        installed by ss_install() with 'uv'
        (<https://docs.astral.sh/uv/>); macOS 14 or later on Apple
        silicon is the supported platform.
Config/spacescans/version: 0.3.4
Config/spacescans/protocol: 1
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.1.1
Config/pak/sysreqs: python3
Repository: https://iu-ultraman.r-universe.dev
Date/Publication: 2026-10-27 20:30:38 UTC
RemoteUrl: https://github.com/IU-Ultraman/spacescans
RemoteRef: v0.3.4
RemoteSha: b49626c8c45863601fdb5e3a4c4a98af8fd07238
RemoteSubdir: r
NeedsCompilation: no
Packaged: 2026-10-28 00:02:12 UTC; root
Author: Xuguang Ai [aut, cre],
  Regenstrief Institute [aut]
Maintainer: Xuguang Ai <xuguang.ai@outlook.com>