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greenSD: Access and Analyze Global GreenSpace Spatial Data

Access and analyze multi-band greenspace seasonality data cubes (available for 1,028 major global cities), global Normalized Difference Vegetation Index / land cover data from the European Space Agency WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data using bounding boxes, city names, and filter by year or seasonal time window. The package also supports calculating human exposure to greenspace using a population-weighted greenspace exposure model introduced by Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human Settlement Layer population data, and calculating a set of greenspace morphology metrics at patch and landscape levels.

Version: 0.1.1
Depends: R (≥ 4.1)
Imports: terra, maptiles, sf, future, furrr, purrr, nominatimlite, utils, cli, dsmSearch, rstac, landscapemetrics, magick, aws.s3, dplyr, tidyr, stringr, tibble, grDevices, rlang
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2025-10-30
DOI: 10.32614/CRAN.package.greenSD (may not be active yet)
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111 at gmail.com>
BugReports: https://github.com/billbillbilly/greenSD/issues
License: GPL-3
URL: https://github.com/billbillbilly/greenSD, https://billbillbilly.github.io/greenSD/
NeedsCompilation: no
CRAN checks: greenSD results

Documentation:

Reference manual: greenSD.html , greenSD.pdf
Vignettes: data analysis (source, R code)
get data (source, R code)

Downloads:

Package source: greenSD_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): greenSD_0.1.1.tgz, r-oldrel (x86_64): greenSD_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=greenSD to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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