This package is considered a duplicate. The official version of this package is found at:https://harmonize-tools.r-universe.dev/land4health

Package: land4health 0.3.0

Yomali Ferreyra

land4health: Remote Sensing Metrics for Spatial Health Analysis

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.

Authors:Antony Barja [aut, cph], Yomali Ferreyra [cre], Diego Villa [ctb]

land4health_0.3.0.tar.gz
land4health_0.3.0.zip(r-4.7-any)land4health_0.3.0.zip(r-4.6-any)
land4health_0.3.0.tar.gz(r-4.7-any)land4health_0.3.0.tar.gz(r-4.6-any)
land4health_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
land4health/json (API)

# Install 'land4health' in R:

install.packages('land4health', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/harmonize-tools/land4health/issues

Pkgdown/docs site:https://harmonize-tools.github.io

On CRAN:

3.29 score 39 scripts 21 exports 103 dependencies

Last updated from:52afc8dd24. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel	OK	195
source / vignettes	OK	222
linux-release	OK	190
windows-devel	OK	180
windows-release	OK	197
wasm-release	OK	158

Exports:l4h_chirps l4h_co_column l4h_dengue l4h_era5land l4h_forest_loss l4h_human_built l4h_install l4h_list_metrics l4h_malaria l4h_night_lights l4h_packages l4h_pm2_5 l4h_rural_access_index l4h_sebal_modis l4h_surface_temp l4h_terra_climate l4h_travel_time l4h_urban_heat_index l4h_urban_rural_area l4h_use_python l4h_vegetation

Dependencies:askpass base64enc bit bit64 bslib cachem class classInt cli clipr cpp11 crayon crosstalk curl DBI digest dplyr e1071 evaluate farver fastmap filelock fontawesome fs generics geojsonsf geometa geometries glue here highr hms htmltools htmlwidgets httr httr2 jquerylib jsonify jsonlite KernSmooth keyring knitr labeling lattice lazyeval leafem leaflet leaflet.providers lifecycle magrittr Matrix memoise mime openssl ows4R pillar pkgconfig png prettyunits processx progress proxy ps purrr R6 rapidjsonr rappdirs raster RColorBrewer Rcpp RcppTOML readr reticulate rgee rlang rmarkdown rprojroot rstudioapi s2 sass scales sf sfheaders sp stringi stringr sys terra tibble tidyr tidyselect tinytex tzdb units utf8 vctrs viridisLite vroom withr wk xfun XML yaml

land4health-setup

Rendered fromland4health-setup.Rmdusingknitr::rmarkdown

Last update: 2026-10-08
Started: 2026-10-08

Citation

Readme and manuals

Help Manual

Help page	Topics
Extract CHIRPS v3 precipitation data from Google Earth Engine	l4h_chirps
Extracts carbon monoxide (CO) concentration from Sentinel-5P TROPOMI	l4h_co_column
Extract dengue case data from OpenDengue	l4h_dengue
Extract ERA5-Land climate variables from Google Earth Engine	l4h_era5land
Extracts forest cover loss within a defined polygon	l4h_forest_loss
Extracts built‑up surface area from GHSL Built‑Up Surface dataset	l4h_human_built
Install Python dependencies for land4health package	l4h_install
List available metrics in _land4health_	l4h_list_metrics
Extract malaria metrics from the Malaria Atlas Project GeoServer	l4h_malaria
Extracts global night‑time lights using harmonized DMSP‑OLS and VIIRS data	l4h_night_lights
List all _land4health_ packages	l4h_packages
Extract Global PM2.5 (monthly) from Google Earth Engine	l4h_pm2_5
Compute Rural Access Index (RAI)	l4h_rural_access_index
Download and process evapotranspiration data	l4h_sebal_modis
Extracts Land Surface Temperature (LST) from MODIS MOD11A1	l4h_surface_temp
Extract TerraClimate variables (monthly) from Google Earth Engine	l4h_terra_climate
Travel Time to Healthcare or Cities (Oxford Dataset)	l4h_travel_time
Calculates the Surface Urban Heat Island (SUHI) index using MODIS LST and GHS-SMOD	l4h_urban_heat_index
Extracts surface areas by urban and rural categories from GHS-SMOD	l4h_urban_rural_area
Configure Python environment for land4health	l4h_use_python
Extract vegetation indices from MODIS MOD13A1	l4h_vegetation

Package: land4health 0.3.0

land4health: Remote Sensing Metrics for Spatial Health Analysis

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)