| get_intersecting_geometries {cancensus} | R Documentation | 
Get identifiers for census regions intersecting a geometry
Description
This function returns a list of regions that intersect a given geometry input. This list of regions can be used
directly to query census when one is interested in census data for a particular geographic region that does
not coincide with defined census geometries. The returned value can be used as the regions
parameter in get_census to get corresponding census geographies and variables that cover the give geometry.
Input spatial objects can be any sf or sfc class objects such as POINT, MULTIPOINT or POLYGON.
This function comes with CensusMapper API limits
Usage
get_intersecting_geometries(
  dataset,
  level,
  geometry,
  simplified = FALSE,
  use_cache = TRUE,
  quiet = FALSE,
  api_key = Sys.getenv("CM_API_KEY")
)
Arguments
dataset | 
 A CensusMapper dataset identifier.  | 
level | 
 The census aggregation level to retrieve. One of   | 
geometry | 
 A valid   | 
simplified | 
 If   | 
use_cache | 
 If set to   | 
quiet | 
 When TRUE, suppress messages and warnings.  | 
api_key | 
 An API key for the CensusMapper API. Defaults to   | 
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
## Not run: 
# Example using a POINT-class object from a pair of lat/lon coordinates
point_geo <- sf::st_sfc(sf::st_point(c(-123.25149, 49.27026)), crs=4326)
regions <- get_intersecting_geometries(dataset = 'CA16', level = 'CT', geometry = point_geo)
census_data <- get_census(dataset='CA16', regions=regions,
                          vectors=c("v_CA16_408","v_CA16_409","v_CA16_410"),
                          level='CT')
# Example using a POLYGON-class object from a bounding box with four coordinates
poly_geo <- sf::st_as_sfc(sf::st_bbox(c(ymin = 49.25, ymax = 49.30,
                          xmin = -123.25, xmax = -123.30)), crs = 4326)
regions <- get_intersecting_geometries(dataset = 'CA16', level = 'CT', geometry = poly_geo)
census_data <- get_census(dataset='CA16', regions=regions,
                         vectors=c("v_CA16_408","v_CA16_409","v_CA16_410"), level='CT')
## End(Not run)