Calculates the Rural Access Index (RAI) for a given region using datasets from the GEE Community Catalog. The RAI represents the proportion of the rural population living within 2 km of an all-season road, aligning with SDG indicator 9.1.1.
Usage
l4h_rural_access_index(
region,
weighted = FALSE,
fun = NULL,
sf = FALSE,
quiet = FALSE,
force = FALSE,
...
)Arguments
- region
A spatial object defining the region of interest. Can be an
sf,sfcobject, or aSpatVector(from the terra package).- weighted
Logical. If
TRUE, computes a population-weighted RAI (i.e., rural population with access divided by total rural population). IfFALSE, computes an area-based RAI (i.e., total pixel area with access divided by total rural area). Default isFALSE.- fun
Character. Summary function to apply to the population raster when
weighted = TRUE. Common values include"mean","sum", etc. Ignored whenweighted = FALSE. Default is"mean".- sf
Logical. If
TRUE, returns the result as ansfobject. IfFALSE, returns an Earth Engine object. Default isFALSE.- quiet
Logical. If TRUE, suppress the progress bar (default FALSE).
- force
Logical. If
TRUE, skips the representativity check and forces the extraction. Default isFALSE.- ...
arguments of
ee_extractofrgeepackages.
Details
This function uses the following datasets from the GEE Community Catalog:
projects/sat-io/open-datasets/RAI/ruralpopaccess/– raster of rural population with access to all-season roadsprojects/sat-io/open-datasets/RAI/inaccessibilityindex/– binary raster indicating access areas (1 = access, 0 = no access)
When weighted = TRUE, the RAI is calculated as the sum (or chosen summary via fun) of the accessible rural population
divided by the total rural population within the specified region.
When weighted = FALSE, the RAI is calculated as the ratio of pixel areas: the total area (in in km^2) with access
divided by the total rural area.
The fun parameter only applies when weighted = TRUE. It will be ignored otherwise.
Credits
Pioneering geospatial health analytics and open‐science tools. Developed by the Innovalab Team, for more information send a email to imt.innovlab@oficinas-upch.pe
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References
GEE Community Catalog: https://gee-community-catalog.org/projects/rai/
Frontiers in Remote Sensing (2024): doi:10.3389/frsen.2024.1375476






