geobr (version 1.6)

read_health_region: Download spatial data of Brazilian health regions and health macro regions

Description

Health regions are used to guide the the regional and state planning of health services. Macro health regions, in particular, are used to guide the planning of high complexity health services. These services involve larger economics of scale and are concentrated in few municipalities because they are generally more technology intensive, costly and face shortages of specialized professionals. A macro region comprises one or more health regions.

Usage

read_health_region(
  year = 2013,
  macro = FALSE,
  simplified = TRUE,
  showProgress = TRUE
)

Arguments

year

Year of the data. Defaults to 2013, latest available.

macro

Logic. If FALSE (default), the function downloads health regions data. If TRUE, the function downloads macro regions data.

simplified

Logic FALSE or TRUE, indicating whether the function returns the data set with original' resolution or a data set with 'simplified' borders. Defaults to TRUE. For spatial analysis and statistics users should set simplified = FALSE. Borders have been simplified by removing vertices of borders using sf::st_simplify() preserving topology with a dTolerance of 100.

showProgress

Logical. Defaults to TRUE display progress bar

Value

An "sf" "data.frame" object

See Also

Other general area functions: read_amazon(), read_biomes(), read_census_tract(), read_comparable_areas(), read_conservation_units(), read_country(), read_immediate_region(), read_intermediate_region(), read_meso_region(), read_micro_region(), read_municipality(), read_neighborhood(), read_region(), read_semiarid(), read_state(), read_statistical_grid(), read_weighting_area()

Examples

# NOT RUN {
 if (interactive()) {
# Read all health regions for a given year
hr <- read_health_region( year=2013 )

# Read all macro health regions
mhr <- read_health_region( year=2013, macro =TRUE)
}
# }