read_polling_places: Download geolocated data of polling places

In geobr: Download Official Spatial Data Sets of Brazil

Download geolocated data of polling places

Description

Data comes from the Superior Electoral Court (TSE). The spatial coordinates used in geobr are a combination of the coordinates produced by the original data producer and the coordinates found via geocoding with the geocodebr package https://CRAN.R-project.org/package=geocodebr. Whenever the distance between the coordinates from both sources is smaller than 800 meters, geobr uses coordinates from the data producer. When the distance between the two sources is greater than 800 meters and the results from geocodebr have a precision level finer than 800 meters, geobr uses the coordinates from geocodebr. When the coordinates from the original source are missing, geobr also uses geocodebr coordinates, regardless of precision level. The source of the spatial coordinates used in each observation is registered in the data in a specific column coords_source. Additional columns indicating the precision level of geocodebr geocoding are also included in the data.

Usage

read_polling_places(
  year,
  code_muni = "all",
  output = "sf",
  showProgress = TRUE,
  cache = TRUE,
  verbose = TRUE
)

Arguments

year	Numeric. Year of the data in YYYY format. It defaults to NULL and reads the data from the latest year available.
code_muni	The 7-digit code of a municipality. If code_muni = "all" (Default), the function downloads all the data available in the country. Alternatively, if a two-digit state code or a two-letter uppercase abbreviation of a state is passed (e.g. 33 or "RJ"), all data of that state are downloaded. Municipality codes can be consulted with the geobr::lookup_muni() function.
output	String. Type of object returned by the function. Defaults to "sf", which loads the data into memory as an sf object. Alternatively, "duckdb" returns a lazy spatial table backed by DuckDB via the duckspatial package, and "arrow" returns an Arrow dataset. Both "duckdb" and "arrow" support out-of-memory processing of large data sets.
showProgress	Logical. Defaults to TRUE display progress bar.
cache	Logical. Whether the function should read the data cached locally, which is faster. Defaults to cache = TRUE. By default, geobr stores data files in a temporary directory that exists only within each R session. If cache = FALSE, the function will download the data again and overwrite the local file.
verbose	A logical. If TRUE (the default), the function prints informative messages and shows download progress bar. If FALSE, the function is silent.

Value

An ⁠"sf" "data.frame"⁠ OR an ArrowObject

Examples

# Read health facilities of a given municipality
h <- read_polling_places(
  year = 2022,
  code_muni = 2800308
  )

# Read health facilities of a given state
h <- read_polling_places(
  year = 2022,
  code_muni = "SE"
  )

# Read all health facilities of the whole country
h <- read_polling_places(year = 2022)

geobr documentation built on May 20, 2026, 5:08 p.m.