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Package June 17, 2019 Type Package Title Loads shapefiles of the Brazilian Institute of Geography and Statistics (IBGE) Version 0.02 Date 2019-06-13 URL https://github.com/ipeaGIT/geobr BugReports https://github.com/ipeaGIT/geobr/issues Description geobr provides easy access to shapefiles of the Brazilian Institute of Geography and Statistics (IBGE) and loads into R as 'sf' objects. It includes a wide set of geographic datasets availabe at various geographic scales and for various years. License MIT + file LICENSE Encoding UTF-8 LazyData TRUE Depends R (>= 3.4.0) Suggests dplyr, ggplot2, mapview, knitr, rmarkdown Imports httr, readr, sf RoxygenNote 6.1.1 VignetteBuilder knitr R topics documented: read_census_tract . . read_meso_region . . read_micro_region . read_municipality . . read_municipality2 . read_state . . . . . . read_statistical_grid . read_weighting_area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 3 3 4 5 6 6 7 2 read_census_tract Index read_census_tract 9 Download shape files of census sectors of the Brazilian Population Census Description Download shape files of census sectors of the Brazilian Population Census Usage read_census_tract(CODE, year = NULL, zone = "urban") Arguments CODE One can either pass the 7-digit code of a Municipality or the 2-digit code of a State.If CODE="all", all census sectors of the country are loaded. year the year of the data download (defaults to 2010) zone "urban" or "rural" for separation in the year 2000 See Also Other general area functions: read_meso_region, read_micro_region, read_municipality2, read_municipality, read_state, read_statistical_grid, read_weighting_area Examples ## Not run: # Exemplos dados <- read_census_tract(year=2010) dados <- read_census_tract(123,2010) dados <- read_census_tract("df",2010) dados <- read_census_tract(1302603,2010) dados <- read_census_tract(35) dados <- read_census_tract(14,2010) dados <- read_census_tract() # mapa library(mapview) mapview(dados) ## End(Not run) read_meso_region read_meso_region 3 Download shape files of meso region. Description Download shape files of meso region. Usage read_meso_region(cod_meso, year = NULL) Arguments cod_meso The 4-digit code of a meso region. If a two-digit code of a state is passed, the function will load all meso regions of that state. If cod_meso="all", all meso regions of the country are loaded. year Year of the data (defaults to 2010) See Also Other general area functions: read_census_tract, read_micro_region, read_municipality2, read_municipality, read_state, read_statistical_grid, read_weighting_area Examples ## Not run: library(geobr) # Read all meso regions of a state at a given year meso <- read_meso_region(cod_meso=12, year=2017) # Read all meso regions of the country at a given year meso <- read_meso_region(cod_meso="all", year=2010) ## End(Not run) read_micro_region Download shape files of micro region. Description Download shape files of micro region. Usage read_micro_region(cod_micro, year = NULL) 4 read_municipality Arguments cod_micro 5-digit code of a micro region. If the two-digit code of a state is passed, the function will load all micro regions of that state. If cod_micro="all", all micro regions of the country are loaded. year Year of the data (defaults to 2010) See Also Other general area functions: read_census_tract, read_meso_region, read_municipality2, read_municipality, read_state, read_statistical_grid, read_weighting_area Examples ## Not run: library(geobr) # Read all micro regions of a state at a given year micro <- read_micro_region(cod_micro=12, year=2017) # Read all micro regions at a given year micro <- read_micro_region(cod_micro="all", year=2010) ## End(Not run) read_municipality Download shape files of municipalities Description Download shape files of municipalities Usage read_municipality(cod_muni, year = NULL) Arguments cod_muni The 7-digit code of a municipality. If the two-digit code of a state is used, the function will load all municipalities of that state. If cod_muni="all", all municipalities will be loaded. year Year of the data (defaults to 2010) See Also Other general area functions: read_census_tract, read_meso_region, read_micro_region, read_municipality2, read_state, read_statistical_grid, read_weighting_area read_municipality2 5 Examples ## Not run: library(geobr) # Read specific municipality at a given year mun <- read_municipality(cod_muni=1200179, year=2017) # Read all municipalities of a state at a given year mun <- read_municipality(cod_muni=12, year=2010) ## End(Not run) read_municipality2 Download shape files of municipalities Description Download shape files of municipalities Usage read_municipality2(cod_muni, year = NULL) Arguments cod_muni The 7-digit code of a municipality. If the two-digit code of a state is used, the function will load all municipalities of that state. If cod_muni="all", all municipalities will be loaded. year Year of the data (defaults to 2010) See Also Other general area functions: read_census_tract, read_meso_region, read_micro_region, read_municipality, read_state, read_statistical_grid, read_weighting_area Examples ## Not run: library(geobr) # Read specific municipality at a given year mun <- read_municipality(cod_muni=1200179, year=2017) # Read all municipalities of a state at a given year mun <- read_municipality(cod_muni=12, year=2010) ## End(Not run) 6 read_statistical_grid read_state Download shape files of Brazilian states Description Download shape files of Brazilian states Usage read_state(cod_uf, year = NULL) Arguments cod_uf The two-digit code of a state. If cod_uf="all", all states will be loaded. year Year of the data (defaults to 2010) See Also Other general area functions: read_census_tract, read_meso_region, read_micro_region, read_municipality2, read_municipality, read_statistical_grid, read_weighting_area Examples ## Not run: library(geobr) # Read specific municipality at a given year uf <- read_state(cod_uf=12, year=2017) # Read all states at a given year ufs <- read_state(cod_uf="all", year=2010) ## End(Not run) read_statistical_grid Download shape files of IBGE’s statistical grid (200 x 200 meters) Description Download shape files of IBGE’s statistical grid (200 x 200 meters) Usage read_statistical_grid(cod_grid, year = NULL) read_weighting_area 7 Arguments cod_grid The 7-digit code of a grid quadrant If the two-letter abbreviation of a state is used, the function will load all grid gradrants that intersect with that state. If cod_grid="all", the grid of the whole country will be loaded. year Year of the data (defaults to 2010). The only year available thus far is 2010. See Also Other general area functions: read_census_tract, read_meso_region, read_micro_region, read_municipality2, read_municipality, read_state, read_weighting_area Examples ## Not run: library(geobr) # Read specific municipality at a given year grid <- read_statistical_grid(cod_grid = 45, year=2010) # Read all municipalities of a state at a given year state_grid <- read_statistical_grid(cod_grid = "RJ") ## End(Not run) read_weighting_area Download shape files of Census Weighting Areas (área de ponderação) of the Brazilian Population Census Description Download shape files of Census Weighting Areas (área de ponderação) of the Brazilian Population Census Usage read_weighting_area(cod_weighting, year = NULL) Arguments year the year of the data download (defaults to 2010) CODE One can either pass the 7-digit code of a Municipality or the 2-digit code of a State. The function will load the shape files of all weighting areas in the specified geography See Also Other general area functions: read_census_tract, read_meso_region, read_micro_region, read_municipality2, read_municipality, read_state, read_statistical_grid 8 read_weighting_area Examples ## Not run: library(geobr) dados dados dados dados dados dados dados dados <<<<<<<<- read_weighting_area(year=2010) read_weighting_area(3500000,2010) read_weighting_area(123,2010) read_weighting_area("df",2010) read_weighting_area(1302603,2010) read_weighting_area(35) read_weighting_area(14,2010) read_weighting_area("all") # map it library(mapview) mapview(dados) ## End(Not run) Index read_census_tract, 2, 3–7 read_meso_region, 2, 3, 4–7 read_micro_region, 2, 3, 3, 4–7 read_municipality, 2–4, 4, 5–7 read_municipality2, 2–4, 5, 6, 7 read_state, 2–5, 6, 7 read_statistical_grid, 2–6, 6, 7 read_weighting_area, 2–7, 7 9
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