get_census {cancensus} | R Documentation |
Access to Canadian census data through the CensusMapper API
Description
This function allows convenient access to Canadian census data and boundary files through the CensusMapper API. An API key is required to retrieve data.
Usage
get_census(
dataset,
regions,
level = NA,
vectors = c(),
geo_format = NA,
resolution = "simplified",
labels = "detailed",
use_cache = TRUE,
quiet = FALSE,
api_key = Sys.getenv("CM_API_KEY")
)
Arguments
dataset |
A CensusMapper dataset identifier. |
regions |
A named list of census regions to retrieve. Names must be valid census aggregation levels. |
level |
The census aggregation level to retrieve, defaults to |
vectors |
An R vector containing the CensusMapper variable names of the census variables to download. If no vectors are specified only geographic data will get downloaded. |
geo_format |
By default is set to |
resolution |
Resolution of the geographic data. By default simplified geometries will be download. For lower level geometries like DB or DA this will be very close to the high resolution data.
Simplification generally increases as the geographic aggregation level increases.
If high resolution geometries are required
then this option can be set to 'high'. By default this setting is set to |
labels |
Set to "detailed" by default, but truncated Census variable names can be selected by setting labels = "short". Use |
use_cache |
If set to TRUE (the default) data will be read from the local cache if available. |
quiet |
When TRUE, suppress messages and warnings. |
api_key |
An API key for the CensusMapper API. Defaults to |
Details
For help selecting regions and vectors, see list_census_regions
and list_census_vectors
, or check out the interactive selection
tool at https://censusmapper.ca/api by calling explore_census_vectors()
Source
Census data and boundary geographies are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016).
Examples
# Query the API for data on dwellings in Vancouver, at the census subdivision
# level:
## Not run:
census_data <- get_census(dataset='CA16', regions=list(CMA="59933"),
vectors=c("v_CA16_408","v_CA16_409","v_CA16_410"),
level='CSD')
# Query the API for data on dwellings in Vancouver, at the census subdivision
# level, and return the associated geography files in \code{sf} format:
census_data <- get_census(dataset='CA16', regions=list(CMA="59933"),
vectors=c("v_CA16_408","v_CA16_409","v_CA16_410"),
level='CSD', geo_format = "sf")
# Make the same query, but this time drop descriptive vector names:
census_data <- get_census(dataset='CA16', regions=list(CMA="59933"),
vectors=c("v_CA16_408","v_CA16_409","v_CA16_410"),
level='CSD', geo_format = "sf", labels="short")
# Get details for truncated vectors:
label_vectors(census_data)
## End(Not run)