Download spatial data of disaster risk areas — read_disaster_risk

This function reads the the official data of disaster risk areas in Brazil (currently only available for 2010). It specifically focuses on geodynamic and hydro-meteorological disasters capable of triggering landslides and floods. The data set covers the whole country. Each risk area polygon (known as 'BATER') has unique code id (column 'geo_bater'). The data set brings information on the extent to which the risk area polygons overlap with census tracts and block faces (column "acuracia") and number of ris areas within each risk area (column 'num'). Original data were generated by IBGE and CEMADEN. For more information about the methodology, see deails at https://www.ibge.gov.br/geociencias/organizacao-do-territorio/tipologias-do-territorio/21538-populacao-em-areas-de-risco-no-brasil.html

Usage

read_disaster_risk_area(
  year,
  code_muni = "all",
  simplified = TRUE,
  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.
simplified: Logic FALSE or TRUE, indicating whether the function should return the data set with 'original' spatial resolution or a data set with 'simplified' geometry. Defaults to TRUE. For spatial analysis and statistics users should set simplified = FALSE. Borders have been simplified by removing vertices of borders using st_simplify{sf} preserving topology with a dTolerance of 100.
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 all disaster risk areas in an specific year
d <- read_disaster_risk_area(year = 2010)
#> ℹ Using year/date 2010

# Read disaster risk areas in a given municipality
d <- read_disaster_risk_area(year = 2010, code_muni = 2927408)
#> ℹ Using year/date 2010

# Read disaster risk areas in a given state
d <- read_disaster_risk_area(year = 2010, code_muni = "AC")
#> ℹ Using year/date 2010