tongfen_aggregate {tongfen}

Perform tongfen according to correspondence

Description

Aggregate variables secified in meta for several datasets according to correspondence.

Usage

tongfen_aggregate(data, correspondence, meta = NULL, base_geo = NULL)

Arguments

data

list of datasets to be aggregated

correspondence

correspondence data for gluing up the datasets

meta

metadata containing aggregation rules as for example returned by 'meta_for_ca_census_vectors'

base_geo

identifier for which data element to base the final geography on, uses the first data element if 'NULL' (default), expects that 'base_geo' is an element of 'names(data)'.

Value

aggregated dataset of class sf if base_geo is not NULL and data is of type sf or tibble otherwise.

Examples

# aggregate census tract level 2006 population data on common gepgraphy build through
# correspondence from 2006 and 2016 census tracts in the City of Vancouver.
## Not run: 
regions <- list(CSD="5915022")
geo1 <- cancensus::get_census("CA06",regions=regions,geo_format='sf',level='CT')
geo2 <- cancensus::get_census("CA16",regions=regions,geo_format='sf',level='CT')
meta <- meta_for_additive_variables("CA06","Population")
correspondence <- get_tongfen_correspondence_ca_census(geo_datasets=c('CA06','CA16'),
                                                       regions=regions,level='CT')
result <- tongfen_aggregate(list(geo1 %>% rename(GeoUIDCA06=GeoUID),
                                 geo2 %>% rename(GeoUIDCA16=GeoUID)),correspondence,meta)

## End(Not run)