Calculate and extract remote sensing metrics for spatial analysis in the field of health.
The package offers R users a quick and straightforward way to obtain areal or zonal statistics of key environmental indicators, covariates, and vector-borne disease data ideal for modeling infectious diseases within the framework of spatial epidemiology.
| Version: |
0.3.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cli (≥ 3.4.0), lifecycle, tidyr, dplyr, rgee, sf, httr2, ows4R, reticulate, rappdirs, tibble, terra |
| Suggests: |
geojsonio, rmarkdown, knitr, testthat (≥ 3.0.0), rstudioapi, geoidep, withr |
| Published: |
2026-10-08 |
| DOI: |
10.32614/CRAN.package.land4health (may not be active yet) |
| Author: |
Antony Barja 
[aut, cph],
Yomali Ferreyra
[cre],
Diego Villa [ctb] |
| Maintainer: |
Yomali Ferreyra <yomali.ferreyra at upch.pe> |
| BugReports: |
https://github.com/harmonize-tools/land4health/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/harmonize-tools/land4health/,
https://harmonize-tools.github.io/land4health/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
land4health results |