tongfen_estimate: Estimate variable values for custom geography

In tongfen: Make Data Based on Different Geographies Comparable

Estimate variable values for custom geography

Description

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Estimates data from source geometry onto target geometry using area-weighted interpolation. The metadata specifies how data should be aggregated, "additive" data like population counts are summed up proportionally to the area of the intersection, "averages" need further additive "parent" count variables to estimate weighted averages.

Usage

tongfen_estimate(target, source, meta, na.rm = FALSE)

Arguments

target	custom geography to estimate values for
source	input geography with values
meta	metadata for variable aggregation, see 'meta_for_additive_variables' and 'meta_for_ca_census_vectors' for more information on how to construct metadata.
na.rm	remove NA values when aggregating, default is FALSE

Value

'target' with estimated quantities from 'source' as specified by 'meta'

Examples

# Estimate 2006 Population in the City of Vancouver dissemination ares on 2016 census geographies
## Not run: 
geo1 <- cancensus::get_census("CA06",regions=list(CSD="5915022"),geo_format='sf',level='DA')
geo2 <- cancensus::get_census("CA16",regions=list(CSD="5915022"),geo_format='sf',level='DA')
meta <- meta_for_additive_variables("CA06","Population")
result <- tongfen_estimate(geo2 %>% rename(Population_2016=Population),geo1,meta)

## End(Not run)

tongfen documentation built on June 8, 2025, 10:49 a.m.