geobr (version 1.6)

read_intermediate_region: Download spatial data of Brazil's Intermediate Geographic Areas

Description

The intermediate Geographic Areas are part of the geographic division of Brazil created in 2017 by IBGE. These regions were created to replace the "Meso Regions" division. Data at scale 1:250,000, using Geodetic reference system "SIRGAS2000" and CRS(4674)

Usage

read_intermediate_region(
  code_intermediate = "all",
  year = 2019,
  simplified = TRUE,
  showProgress = TRUE
)

Arguments

code_intermediate

4-digit code of an intermediate 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 intermediate regions of that state. If code_intermediate="all" (Default), all intermediate regions of the country are loaded.

year

A year number in YYYY format. Defaults to 2019

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_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 an specific intermediate region
  im <- read_intermediate_region(code_intermediate=1202)

# Read intermediate regions of a state
  im <- read_intermediate_region(code_intermediate=12)
  im <- read_intermediate_region(code_intermediate="AM")

# Read all intermediate regions of the country
  im <- read_intermediate_region()
  im <- read_intermediate_region(code_intermediate="all")
}
# }