Package: mappingAS
Type: Package
Title: Spatial Metrics and Habitat Conversion for Extinction Risk
        Assessment
Version: 1.13.2
Authors@R: 
    person("Antônio Lucas Barreira", email = "barreira_rodrigues@hotmail.com", role = c("aut", "cre", "cph"))
Author: Antônio Lucas Barreira [aut, cre, cph]
Maintainer: Antônio Lucas Barreira <barreira_rodrigues@hotmail.com>
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.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: sf (>= 1.0.0), terra (>= 1.7.0), shiny, bslib, leaflet, units,
        lwgeom, readxl, rlang, grid, tools, utils, stats, graphics,
        grDevices, DT, htmltools, htmlwidgets, ggplot2, plotly, officer
Suggests: rgee, reticulate, writexl, zip, curl, ggnewscale,
        ggtrendline, ragg, shinyWidgets, testthat (>= 3.0.0), knitr,
        rmarkdown, spelling
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://github.com/lucasbarreirageo/mappingAS
BugReports: https://github.com/lucasbarreirageo/mappingAS/issues
Config/roxygen2/version: 8.1.0
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-15 17:14:56 UTC; codespace
Repository: CRAN
Date/Publication: 2026-09-26 16:50:08 UTC
