geobr: read_disaster_risk_area – R documentation

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read_disaster_risk_area

Download spatial data of disaster risk areas

Description

This function reads the the official data of disaster risk areas in Brazil. 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 = 2010, simplified = TRUE, showProgress = TRUE)

Arguments

`year`	A year number in YYYY format. 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

Examples

## Not run:  if (interactive()) {
# Read all disaster risk areas in an specific year
d <- read_disaster_risk_area(year=2010)
}
## End(Not run)

geobr

Download Official Spatial Data Sets of Brazil

v1.6.1

MIT + file LICENSE

Authors

Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Caio Nogueira Goncalves [aut], Paulo Henrique Fernandes de Araujo [ctb], Guilherme Duarte Carvalho [ctb], Rodrigo Almeida de Arruda [ctb], Igor Nascimento [ctb], Barbara Santiago Pedreira da Costa [ctb], Welligtton Silva Cavedo [ctb], Pedro R. Andrade [ctb], Alan da Silva [ctb], Carlos Kauê Vieira Braga [ctb], Carl Schmertmann [ctb], Alessandro Samuel-Rosa [ctb], Daniel Ferreira [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]

Initial release

2021-04-15