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geobr  

Download Official Spatial Data Sets of Brazil
View on CRAN: Click here


Download and install geobr package within the R console
Install from CRAN:
install.packages("geobr")

Install from Github:
library("remotes")
install_github("cran/geobr")

Install by package version:
library("remotes")
install_version("geobr", "1.9.1")



Attach the package and use:
library("geobr")
Maintained by
Rafael H. M. Pereira
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-05
Latest Update: 2022-08-16
Description:
Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and fixed topology.
How to cite:
Rafael H. M. Pereira (2019). geobr: Download Official Spatial Data Sets of Brazil. R package version 1.9.1, https://cran.r-project.org/web/packages/geobr. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2019-08-05 13:00), 1.1 (2019-12-03 11:50), 1.2 (2020-02-20 07:00), 1.3 (2020-03-29 19:20), 1.4 (2020-10-04 15:00), 1.5-1 (2021-02-06 23:30), 1.5 (2021-02-03 23:40), 1.6.1 (2021-04-17 01:20), 1.6.2 (2021-07-08 17:30), 1.6.3 (2021-07-22 00:10), 1.6.4 (2021-07-23 00:40), 1.6.5 (2022-01-04 01:30), 1.6 (2021-04-14 18:40), 1.7.0 (2022-08-16 09:50), 1.8.0 (2023-09-09 07:40), 1.8.1 (2023-09-21 08:50), 1.8.2 (2024-01-09 11:40), 1.9.0 (2024-04-18 19:53)
Other packages that cited geobr R package
View geobr citation profile
Other R packages that geobr depends, imports, suggests or enhances
Complete documentation for geobr
Functions, R codes and Examples using the geobr R package
Some associated functions: cep_to_state . check_connection . download_gpkg . download_metadata . geobr . grid_state_correspondence_table . list_geobr . load_gpkg . lookup_muni . read_amazon . read_biomes . read_capitals . read_census_tract . read_comparable_areas . read_conservation_units . read_country . read_disaster_risk_area . read_health_facilities . read_health_region . read_immediate_region . read_indigenous_land . read_intermediate_region . read_meso_region . read_metro_area . read_micro_region . read_municipal_seat . read_municipality . read_neighborhood . read_pop_arrangements . read_region . read_schools . read_semiarid . read_state . read_statistical_grid . read_urban_area . read_urban_concentrations . read_weighting_area . select_data_type . select_metadata . select_year_input . 
Some associated R codes: cep_to_state.R . geobr.R . grid_state_correspondence_table.R . list_geobr.R . lookup_muni.R . read_amazon.R . read_biomes.R . read_capitals.R . read_census_tract.R . read_comparable_areas.R . read_conservation_units.R . read_country.R . read_disaster_risk_area.R . read_health_facilities.R . read_health_region.R . read_immediate_region.R . read_indigenous_land.R . read_intermediate_region.R . read_meso_region.R . read_metro_area.R . read_micro_region.R . read_municipal_seat.R . read_municipality.R . read_neighborhood.R . read_pop_arrangements.R . read_region.R . read_schools.R . read_semiarid.R . read_state.R . read_statistical_grid.R . read_urban_area.R . read_urban_concentrations.R . read_weighting_area.R . utils.R .  Full geobr package functions and examples
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