Package: paisaje 0.3.0

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.zip(r-4.7)paisaje_0.3.0.zip(r-4.6)paisaje_0.3.0.zip(r-4.5)
paisaje_0.3.0.tgz(r-4.6-any)paisaje_0.3.0.tgz(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
paisaje/json (API)

# Install 'paisaje' in R:

install.packages('paisaje', repos = c('https://manuelspinola.r-universe.dev', 'https://cloud.r-project.org'))

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

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

Datasets:

cr_outline - Costa Rica Full Outline
cr_outline_c - Costa Rica Continental Outline

On CRAN:

5.47 score 6 stars 14 scripts 365 downloads 15 exports 151 dependencies

Last updated from:91d580b748. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	280
source / vignettes	OK	263
linux-release-x86_64	OK	258
macos-release-arm64	OK	188
macos-oldrel-arm64	OK	159
windows-devel	OK	205
windows-release	OK	210
windows-oldrel	OK	205
wasm-release	OK	180

Exports:calculate_it_metrics count_points_in_polygons create_cat_esa_10m extract_cat_raster extract_num_raster get_chelsa_future get_chelsa_historic get_cr_outline get_esa_10m get_h3_grid get_nightlight_data get_records get_records_by_hexagon get_worldclim_future get_worldclim_historic

Dependencies:askpass assertthat backports base64enc bit bit64 blackmarbler blob broom bslib cachem callr cellranger class classInt cli clipr conflicted cowplot cpp11 crayon crosstalk crul curl data.table DBI dbplyr digest dplyr dtplyr e1071 evaluate exactextractr farver fastmap fontawesome forcats fs gargle generics geodata geojsonsf geometries ggplot2 glue googledrive googlesheets4 gtable h3jsr haven highr hms htmltools htmlwidgets httpcode httr httr2 ids isoband jquerylib jsonify jsonlite kableExtra KernSmooth knitr labeling landscapemetrics lattice lazyeval leaflet leaflet.providers lifecycle lubridate magrittr maps MASS memoise mime modelr oai openssl otel pillar pkgconfig plyr png prettyunits processx progress proxy ps purrr R6 ragg rapidjsonr rappdirs raster RColorBrewer Rcpp RcppArmadillo readr readxl rebird rematch rematch2 reprex rgbif ridigbio rlang rmarkdown rstudioapi rvertnet rvest s2 S7 sass scales selectr sf sfheaders sp spocc stringi stringr svglite sys systemfonts terra textshaping tibble tidyr tidyselect tidyverse timechange tinytex triebeard tzdb units urltools utf8 uuid V8 vctrs viridisLite vroom whisker withr wk xfun xml2 yaml

paisaje: landscape analysis

Installation | Example

Rendered frompaisaje.Rmdusingknitr::rmarkdown

Last update: 2025-09-30
Started: 2025-09-11

Help page	Topics
Calculate Landscape Complexity Metrics (IT Metrics) per Polygon	calculate_it_metrics
Count Points within Polygons by Species	count_points_in_polygons
Costa Rica Full Outline (Continental + Islands)	cr_outline
Costa Rica Continental Outline	cr_outline_c
Create Categorical Land Cover Raster from Copernicus ESA WorldCover Data	create_cat_esa_10m
Calculate Area Proportions for Categorical Raster Classes (Generic)	extract_cat_raster
Extract Area-Weighted Mean from Numeric Raster Stack for Polygons	extract_num_raster
Download and Process Future Climate Variables from CHELSA v2.1 (CMIP6)	get_chelsa_future
Download and Process Historic Climate Variables from CHELSA v2.1	get_chelsa_historic
Download Costa Rica Outline from GADM	get_cr_outline
Download ESA WorldCover land cover data	get_esa_10m
Generate an H3 Hexagonal Grid for an sf Object	get_h3_grid
Download and Retrieve Nightlight Data from NASA Black Marble	get_nightlight_data
Query Species Occurrence Records within an Area of Interest (AOI)	get_records
Retrieve species records aggregated by H3 hexagons	get_records_by_hexagon
Download and process future environmental variables from WorldClim v2.1	get_worldclim_future
Descargar y procesar variables climáticas históricas de WorldClim v2.1	get_worldclim_historic

Package: paisaje 0.3.0

paisaje: Spatial and Environmental Data Tools for Landscape Ecology

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Help Manual

Usage by other packages (reverse dependencies)