<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>xuguang-ai.r-universe.dev</title><link>https://xuguang-ai.r-universe.dev</link><description>Recent package updates in xuguang-ai</description><generator>R-universe</generator><image><url>https://github.com/xuguang-ai.png</url><title>R packages by xuguang-ai</title><link>https://xuguang-ai.r-universe.dev</link></image><lastBuildDate>Tue, 27 Oct 2026 20:30:38 GMT</lastBuildDate><item><title>[iu-ultraman] spacescans 0.3.4</title><author>xuguang.ai@outlook.com (Xuguang Ai)</author><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'.</description><link>https://github.com/r-universe/iu-ultraman/actions/runs/40605773382</link><pubDate>Tue, 27 Oct 2026 20:30:38 GMT</pubDate><r:package>spacescans</r:package><r:version>0.3.4</r:version><r:status>success</r:status><r:repository>https://iu-ultraman.r-universe.dev</r:repository><r:upstream>https://github.com/IU-Ultraman/spacescans</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting started with spacescans</r:title><r:created>2026-10-13 00:36:27</r:created><r:modified>2026-10-16 22:19:39</r:modified></r:article></item></channel></rss>