geobr (version 1.6)

read_micro_region: Download spatial data of micro regions

Description

Data at scale 1:250,000, using Geodetic reference system "SIRGAS2000" and CRS(4674)

Usage

read_micro_region(
  code_micro = "all",
  year = 2010,
  simplified = TRUE,
  showProgress = TRUE
)

Arguments

code_micro

5-digit code of a micro region. If the two-digit code or a two-letter uppercase abbreviation of a state is passed, (e.g. 33 or "RJ") the function will load all micro regions of that state. If code_micro="all", all micro regions of the country are loaded.

year

Year of the data. Defaults to 2010

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_health_region(), read_immediate_region(), read_intermediate_region(), read_meso_region(), read_municipality(), read_neighborhood(), read_region(), read_semiarid(), read_state(), read_statistical_grid(), read_weighting_area()

Examples

# NOT RUN {
 if (interactive()) {
# Read an specific micro region a given year
  micro <- read_micro_region(code_micro=11008, year=2018)

# Read micro regions of a state at a given year
  micro <- read_micro_region(code_micro=12, year=2017)
  micro <- read_micro_region(code_micro="AM", year=2000)

# Read all micro regions at a given year
  micro <- read_micro_region(code_micro="all", year=2010)
}
# }