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, 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".
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, tidyr, sf, terra, h3jsr, rvest, httr, landscapemetrics, spocc, exactextractr, progress, magrittr |
| Suggests: |
ggplot2, rmarkdown, knitr |
| Published: |
2026-01-07 |
| DOI: |
10.32614/CRAN.package.paisaje |
| Author: |
Manuel Spínola 
[aut, cre] |
| Maintainer: |
Manuel Spínola <mspinola10 at gmail.com> |
| BugReports: |
https://github.com/ManuelSpinola/paisaje/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://manuelspinola.github.io/paisaje/,
https://github.com/ManuelSpinola/paisaje |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
paisaje citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
paisaje results |
Documentation:
Downloads:
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