Returns a tibble with the metadata of every metric shipped with
land4health. You can optionally filter by thematic category, metric
short name, or provider.
If open_in_browser = TRUE
, all matching URLs are opened in your default
browser; for safety you must supply at least one filter, and—if more than
five tabs would open—you are asked to confirm in interactive sessions.
Value
A tibble (returned invisibly). When open_in_browser = FALSE
a compact preview (max 10 rows) is printed before the tibble is
returned.
Examples
## All examples keep `open_in_browser = FALSE` to avoid side-effects
## during automated checks.
## 1 Show the full inventory (truncated to 10 rows).
l4h_list_metrics()
#> # A tibble: 10 × 11
#> category metric pixel_resolution_met…¹ dataset start_year end_year
#> <chr> <chr> <chr> <chr> <int> <int>
#> 1 Human intervention Defore… 30 Hansen… 2000 2023
#> 2 Human intervention Human … 300 Global… 1990 2017
#> 3 Human intervention Popula… 100 WorldP… 2000 2021
#> 4 Human intervention Urban … 500 MODIS … 2001 2022
#> 5 Human intervention Night … 500 VIIRS … 1992 2023
#> 6 Human intervention Human … 30 Global… 1975 2030
#> 7 Enviroment Water … 30 MapBio… 1985 2022
#> 8 Enviroment Urban … 1000 Urban … 2003 2020
#> 9 Accesibility Travel… 927.67 Malari… 2019 2020
#> 10 Accesibility Rural … 100 Rural … 2024 2024
#> # ℹ abbreviated name: ¹pixel_resolution_meters
#> # ℹ 5 more variables: resolution_temporal <chr>, layer_can_be_actived <lgl>,
#> # tags <chr>, lifecycle <chr>, url <chr>
#> ... (1 more)
## 2 Filter by category (“Human intervention”).
l4h_list_metrics(category = "Human intervention")
#> # A tibble: 6 × 11
#> category metric pixel_resolution_met…¹ dataset start_year end_year
#> <chr> <chr> <chr> <chr> <int> <int>
#> 1 Human intervention Defores… 30 Hansen… 2000 2023
#> 2 Human intervention Human M… 300 Global… 1990 2017
#> 3 Human intervention Populat… 100 WorldP… 2000 2021
#> 4 Human intervention Urban a… 500 MODIS … 2001 2022
#> 5 Human intervention Night t… 500 VIIRS … 1992 2023
#> 6 Human intervention Human S… 30 Global… 1975 2030
#> # ℹ abbreviated name: ¹pixel_resolution_meters
#> # ℹ 5 more variables: resolution_temporal <chr>, layer_can_be_actived <lgl>,
#> # tags <chr>, lifecycle <chr>, url <chr>
## 3 Filter by provider (“WorldPop”) and store the result.
worldpop_tbl <- l4h_list_metrics(provider = "WorldPop")
#> # A tibble: 1 × 11
#> category metric pixel_resolution_met…¹ dataset start_year end_year
#> <chr> <chr> <chr> <chr> <int> <int>
#> 1 Human intervention Populat… 100 WorldP… 2000 2021
#> # ℹ abbreviated name: ¹pixel_resolution_meters
#> # ℹ 5 more variables: resolution_temporal <chr>, layer_can_be_actived <lgl>,
#> # tags <chr>, lifecycle <chr>, url <chr>
head(worldpop_tbl)
#> # A tibble: 1 × 11
#> category metric pixel_resolution_met…¹ dataset start_year end_year
#> <chr> <chr> <chr> <chr> <int> <int>
#> 1 Human intervention Populat… 100 WorldP… 2000 2021
#> # ℹ abbreviated name: ¹pixel_resolution_meters
#> # ℹ 5 more variables: resolution_temporal <chr>, layer_can_be_actived <lgl>,
#> # tags <chr>, lifecycle <chr>, url <chr>