<?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>lucasbarreirageo.r-universe.dev</title><link>https://lucasbarreirageo.r-universe.dev</link><description>Recent package updates in lucasbarreirageo</description><generator>R-universe</generator><image><url>https://github.com/lucasbarreirageo.png</url><title>R packages by lucasbarreirageo</title><link>https://lucasbarreirageo.r-universe.dev</link></image><lastBuildDate>Mon, 12 Oct 2026 19:26:31 GMT</lastBuildDate><item><title>[lucasbarreirageo] mappingAS 1.15.0</title><author>barreira_rodrigues@hotmail.com (Antônio Lucas Barreira)</author><description>A spatial analytical framework for preliminary species
extinction-risk screening following the IUCN Red List Criterion
B guidelines. From occurrence points it computes the Extent of
Occurrence (EOO) and Area of Occupancy (AOO) on a data-centred
equal-area projection, assigns provisional Criterion B
categories, and integrates 'MapBiomas' land-use/land-cover data
to quantify the proportion of anthropogenic conversion versus
remaining natural habitat within each range metric, with
per-class breakdowns and land-cover time series. Several
'MapBiomas' initiatives are supported through one standardised
legend - 'MapBiomas' Brazil, the Pan-Amazon / Amazonia
collection (RAISG), Colombia, Argentina, Bolivia, Chile,
Ecuador, Peru, Venezuela, Paraguay and Uruguay - so a species
anywhere these products cover can be screened as readily as a
Brazilian one. For ranges outside 'MapBiomas' coverage it can
fall back to the global 'Esri' / 'Impact Observatory' 10 m
annual land cover derived from 'Sentinel-2' (the product behind
the 'ArcGIS' Living Atlas Land Cover Explorer), so a species
anywhere on Earth can be screened. It also integrates
'MapBiomas' Fire to compute burned-area metrics and fire time
series, and quantifies the overlap of the range with protected
areas from the global World Database on Protected Areas (WDPA).
'MapBiomas' data are read either locally over the network via
'GDAL' '/vsicurl/' (no 'Google Earth Engine' account required)
or server-side through 'Google Earth Engine' (GEE) for
large-scale assessments. Outputs include interactive and
publication ready maps and charts, spatial
(shapefile/'GeoPackage') and raster exports, and a written
assessment report (HTML, text or Word). An interactive 'shiny'
application ties the whole workflow together for reproducible
conservation planning.</description><link>https://github.com/r-universe/lucasbarreirageo/actions/runs/38320996490</link><pubDate>Mon, 12 Oct 2026 19:26:31 GMT</pubDate><r:package>mappingAS</r:package><r:version>1.15.0</r:version><r:status>success</r:status><r:repository>https://lucasbarreirageo.r-universe.dev</r:repository><r:upstream>https://github.com/lucasbarreirageo/mappingas</r:upstream><r:article><r:source>mappingAS.Rmd</r:source><r:filename>mappingAS.html</r:filename><r:title>mappingAS: IUCN Criterion B screening (EOO, AOO and habitat conversion)</r:title><r:created>2026-06-06 17:25:41</r:created><r:modified>2026-10-12 16:23:05</r:modified></r:article></item></channel></rss>