Package: land4health
Title: Remote Sensing Metrics for Spatial Health Analysis
Version: 0.3.0
Authors@R: c(
    person("Antony", "Barja", email = "antony.barja@upch.pe", role = c("aut","cph"), comment = c(ORCID = "0000-0001-5921-2858")),
    person("Yomali", "Ferreyra", email = "yomali.ferreyra@upch.pe", role = c("cre"), comment = c(ORCID = "0000-0002-5184-9595")),
    person("Diego", "Villa", role = c("ctb")))
Description: 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.
Maintainer: Yomali Ferreyra <yomali.ferreyra@upch.pe>
URL: https://github.com/harmonize-tools/land4health/,
        https://harmonize-tools.github.io/land4health/
License: MIT + file LICENSE
Encoding: UTF-8
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
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
BugReports: https://github.com/harmonize-tools/land4health/issues
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-10-08 22:23:13 UTC; root
Author: Antony Barja [aut, cph] (ORCID:
        <https://orcid.org/0000-0001-5921-2858>), Yomali Ferreyra [cre]
        (ORCID: <https://orcid.org/0000-0002-5184-9595>), Diego Villa
        [ctb]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-08 22:13:03 UTC
RemoteUrl: https://github.com/cran/land4health
RemoteRef: HEAD
RemoteSha: 52afc8dd241b57a6ec339d20732b6588d0d79fd6