Package: paisaje 0.3.0

Manuel Spínola

paisaje: Spatial and Environmental Data Tools for Landscape Ecology

Provides functions for landscape analysis and data retrieval. The package allows users to download environmental variables from global datasets (e.g., WorldClim, CHELSA, ESA WorldCover, Nighttime Lights), and to compute spatial and landscape metrics using a hexagonal grid system based on the H3 spatial index. It is useful for ecological modeling, biodiversity studies, and spatial data processing in landscape ecology. Fick and Hijmans (2017) <doi:10.1002/joc.5086>. Zanaga et al. (2022) <doi:10.5281/zenodo.7254221>. Uber Technologies Inc. (2022) "H3: Hexagonal hierarchical spatial index". Román et al. (2018) <doi:10.1016/j.rse.2018.03.017>. Karger et al. (2017) <doi:10.1038/sdata.2017.122>. Brun et al. (2022) <doi:10.5194/essd-14-5573-2022>.

Authors:Manuel Spínola [aut, cre]

paisaje_0.3.0.tar.gz
paisaje_0.3.0.tar.gz(r-4.7-any)paisaje_0.3.0.tar.gz(r-4.6-any)
paisaje_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
paisaje/json (API)
NEWS

# Install 'paisaje' in R:
install.packages('paisaje', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/manuelspinola/paisaje/issues

Pkgdown/docs site:https://manuelspinola.github.io

Datasets:

On CRAN:

Conda:

3.32 score 14 scripts 287 downloads 15 exports 151 dependencies

Last updated from:e71750952a. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK263
source / vignettesOK269
linux-release-x86_64OK270
wasm-releaseOK187

Exports:calculate_it_metricscount_points_in_polygonscreate_cat_esa_10mextract_cat_rasterextract_num_rasterget_chelsa_futureget_chelsa_historicget_cr_outlineget_esa_10mget_h3_gridget_nightlight_dataget_recordsget_records_by_hexagonget_worldclim_futureget_worldclim_historic

Dependencies:askpassassertthatbackportsbase64encbitbit64blackmarblerblobbroombslibcachemcallrcellrangerclassclassIntclicliprconflictedcowplotcpp11crayoncrosstalkcrulcurldata.tableDBIdbplyrdigestdplyrdtplyre1071evaluateexactextractrfarverfastmapfontawesomeforcatsfsgarglegenericsgeodatageojsonsfgeometriesggplot2gluegoogledrivegooglesheets4gtableh3jsrhavenhighrhmshtmltoolshtmlwidgetshttpcodehttrhttr2idsisobandjquerylibjsonifyjsonlitekableExtraKernSmoothknitrlabelinglandscapemetricslatticelazyevalleafletleaflet.providerslifecyclelubridatemagrittrmapsMASSmemoisemimemodelroaiopensslotelpillarpkgconfigplyrpngprettyunitsprocessxprogressproxypspurrrR6raggrapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadilloreadrreadxlrebirdrematchrematch2reprexrgbifridigbiorlangrmarkdownrstudioapirvertnetrvests2S7sassscalesselectrsfsfheadersspspoccstringistringrsvglitesyssystemfontsterratextshapingtibbletidyrtidyselecttidyversetimechangetinytextriebeardtzdbunitsurltoolsutf8uuidV8vctrsviridisLitevroomwhiskerwithrwkxfunxml2yaml

paisaje: landscape analysis

Rendered frompaisaje.Rmdusingknitr::rmarkdownon Jun 13 2026.

Last update: 2025-10-21
Started: 2025-10-21