<?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>pinasr.r-universe.dev</title><link>https://pinasr.r-universe.dev</link><description>Recent package updates in pinasr</description><generator>R-universe</generator><image><url>https://github.com/pinasr.png</url><title>R packages by pinasr</title><link>https://pinasr.r-universe.dev</link></image><lastBuildDate>Sat, 13 Jun 2026 13:37:16 GMT</lastBuildDate><item><title>[pinasr] palettephines 0.1.3</title><author>ninotalingting77@gmail.com (NJ Talingting)</author><description>Provides specialized color palettes representing
phenological transitions and biological lifecycles within
Philippine landscapes. Rather than abstract gradients, these
scales are anchored to topologically grounded states such as
agricultural maturity, seasonal vegetation shifts, and
environmental readiness. Palettes are indexed against the
Biologische Bundesanstalt, Bundessortenamt und CHemische
Industrie (BBCH) scale (Meier, 2023)
&lt;https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00010428/BBCH-Skala_en.pdf&gt;
for terrestrial vegetation and the Reef Health Index (RHI)
framework (McField and Kramer, 2007)
&lt;https://www.healthyreefs.org&gt; for marine ecosystems. This
ensures scientific interoperability across archipelagic spatial
models, aligning with global standards for ecological
state-transition modeling (Schwartz, 2013)
&lt;doi:10.1007/978-94-007-6925-0&gt;.</description><link>https://github.com/r-universe/pinasr/actions/runs/27468605973</link><pubDate>Sat, 13 Jun 2026 13:37:16 GMT</pubDate><r:package>palettephines</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://pinasr.r-universe.dev</r:repository><r:upstream>https://github.com/pinasr/palettephines</r:upstream><r:article><r:source>palettephines-intro.Rmd</r:source><r:filename>palettephines-intro.html</r:filename><r:title>Grounding Spatial Statistics with Philippine Biological Reality using palettephines</r:title><r:created>2026-04-22 08:55:14</r:created><r:modified>2026-04-23 04:46:35</r:modified></r:article></item><item><title>[pinasr] ArchipelagoEngine 0.1.1</title><author>ninotalingting77@gmail.com (NJ Talingting)</author><description>Implements specialized K-Nearest Neighbor (KNN) logic to
address the unique challenges of spatial modeling in
archipelagic environments. Standard contiguity models often
leave significant portions of island nations (e.g., 20% of the
Philippines) mathematically isolated. This package provides
tools to ensure 100% network connectivity, neutralizing spatial
bias and enabling robust econometric inference. Methodology
follows Anselin (1988, ISBN:9024737354) and LeSage and Pace
(2009) &lt;doi:10.1201/9781420064254&gt;.</description><link>https://github.com/r-universe/pinasr/actions/runs/27145971844</link><pubDate>Mon, 08 Jun 2026 12:04:46 GMT</pubDate><r:package>ArchipelagoEngine</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://pinasr.r-universe.dev</r:repository><r:upstream>https://github.com/pinasr/ArchipelagoEngine</r:upstream><r:article><r:source>rtl_impact.Rmd</r:source><r:filename>rtl_impact.html</r:filename><r:title>Addressing a Decade-Old 'Continental Fallacy' in Spatial Econometrics</r:title><r:created>2026-03-12 05:55:54</r:created><r:modified>2026-05-28 03:30:39</r:modified></r:article></item><item><title>[pinasr] roroph 0.1.1.9999</title><author>ninotalingting77@gmail.com (NJ Talingting)</author><description>Provides the first standardized dataset of the
Philippines' Roll-on/Roll-off (RoRo) shipping network,
reflecting the 2024-2026 operational state. It digitizes
fragmented records from the Maritime Industry Authority
(MARINA) and Philippine Ports Authority (PPA) into a unified
framework for transport modeling. The package includes 108
bidirectional provincial links across the Western, Central, and
Eastern Nautical Highways, complete with GADM-standardized
naming, geospatial coordinates, and metrics such as distance,
travel time, and vessel frequency. Methodology follows Anselin
(1988, ISBN:9024737354) and LeSage and Pace (2009)
&lt;doi:10.1201/9781420064254&gt; for spatial weight construction.
Data sources include &quot;MARINA Inventory of RoRo Routes&quot;
&lt;https://marina.gov.ph&gt; and &quot;PPA Port Statistics&quot;
&lt;https://www.ppa.com.ph/ppa_statistics&gt;. Designed to support
research in economic geography and disaster-response logistics.</description><link>https://github.com/r-universe/pinasr/actions/runs/27145968735</link><pubDate>Mon, 08 Jun 2026 12:04:00 GMT</pubDate><r:package>roroph</r:package><r:version>0.1.1.9999</r:version><r:status>success</r:status><r:repository>https://pinasr.r-universe.dev</r:repository><r:upstream>https://github.com/pinasr/roroph</r:upstream><r:article><r:source>roroph_guide.Rmd</r:source><r:filename>roroph_guide.html</r:filename><r:title>Visualizing Philippine Roll-on/Roll-off 'RoRo' Connectivity with roroph</r:title><r:created>2026-04-05 07:29:17</r:created><r:modified>2026-04-14 11:14:34</r:modified></r:article></item><item><title>[pinasr] phscs 0.2.0</title><author>aeabdulsamad@gmail.com (Bhas Abdulsamad)</author><description>A unified interface to access and manipulate various
Philippine statistical classifications. It allows users to
retrieve, filter, and harmonize classification data, making it
easier to work with Philippine statistical data in R.</description><link>https://github.com/r-universe/pinasr/actions/runs/27459918464</link><pubDate>Thu, 14 May 2026 18:27:59 GMT</pubDate><r:package>phscs</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://pinasr.r-universe.dev</r:repository><r:upstream>https://github.com/yng-me/phscs</r:upstream><r:article><r:source>phscs.Rmd</r:source><r:filename>phscs.html</r:filename><r:title>Getting Started with phscs</r:title><r:created>2025-10-18 19:15:38</r:created><r:modified>2026-05-09 09:38:38</r:modified></r:article></item></channel></rss>