| tracts_to_h3 | R Documentation |
tracts_to_h3() performs a dasymetric interpolation with the following steps:
census tract totals are allocated to CNEFE dwelling points inside each tract;
allocated values are aggregated to an H3 grid at a user-defined resolution.
The function uses DuckDB with the spatial and H3 extensions for the heavy work.
Unlike cnefe_counts() and compute_lumi(), this function does not expose a
backend argument and relies on DuckDB exclusively. The dominant cost here is
a spatial overlay between the full CNEFE point set of the municipality and the
census tract polygons, which is a different workload from the tabular
aggregation those other functions perform. Running that overlay in R would
take prohibitively long in medium and large municipalities, so a pure-R
fallback would offer users a path that does not finish rather than a slower
one.
tracts_to_h3(
code_muni,
year = 2022,
h3_resolution = 9,
vars = c("pop_ph", "pop_ch"),
cache = TRUE,
cache_dir = NULL,
verbose = TRUE
)
code_muni |
Integer. Seven-digit IBGE municipality code. |
year |
Integer. The CNEFE data year. Currently only 2022 is supported. Defaults to 2022. |
h3_resolution |
Integer. H3 resolution (0 to 15). Defaults to 9. |
vars |
Character vector. Names of tract-level variables to interpolate. Supported variables:
For a reference table mapping these variable names to the official IBGE census tract codes and descriptions, see tracts_variables_ref. Allocation rules:
|
cache |
Logical. Whether to use the package cache for the census tract assets and the CNEFE files. |
cache_dir |
Character. Directory to use for cached downloads. If |
verbose |
Logical. Whether to print step messages and timing. |
An sf object (CRS 4326) with an H3 grid and the requested interpolated variables.
# Interpolate population to H3 hexagons
hex_pop <- tracts_to_h3(
code_muni = 2929057,
vars = c("pop_ph", "pop_ch"),
cache = FALSE
)
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