aopdata is an R package to download data from the Access to Opportunities Project (AOP). The AOP is a research initiative led by the Institute for Applied Economic Research (Ipea) with the aim to study transport access to opportunities in Brazilian cities.
aopdata package brings annual estimates of access to employment, health, education and social protection services by transport mode at a fine spatial resolution for the 20 largest cities in Brazil. The package also brings data on the spatial distribution of population by sex, race, income and age, as well as the distribution of jobs, schools, health care facilities and social assistance reference centers.
Data for 2017, 2018 and 2019 are already available, and cover accessibility estimates by car and active transport modes (walking and cycling) for the 20 largest cities in the country, and by public transport for over 9 major cities. For more information on the AOP website.
The aopdata package includes five core functions.
read_population()- Download population data
read_landuse()- Download landuse data
read_access()- Download accessibility estimates
aopdata_dictionary()- Opens aopdata data dictionary on a web browser
read_grid()- Download the H3 hexagonal spatial grid
The dictionary of data columns is presented in the documentation of each function. However, you can also open the data dictionary on a web browser by running:
# for English aopdata_dictionary(lang = 'en') # for Portuguese aopdata_dictionary(lang = 'pt')
read_access() function downloads accessibility estimates for a given
year. For the sake of convenience, this function will also automatically download the population and land use data for the cities selected. Note that accessibility estimates are available for peak and off-peak periods for
# Download accessibility, population and land use data cur <- read_access( city = 'Curitiba', mode = 'public_transport', peak = TRUE, year = 2019 )
You many also set the parameter
geometry = TRUE so that functions return a spatial
sf object with the geometries of the H3 spatial grid.
# Download accessibility, population and land use data cur <- read_access( city = 'Curitiba', mode = 'public_transport', peak = TRUE, year = 2019, geometry = TRUE )
In case you are only interested in using the population and land use data generated by the Access to Opportunities Project, you can download these data sets separately. Please note that the population available comes from the latest Brazilian 2010 census, while land use data cna be downloaded for 2017, 2018 or 2019.
# Land use data lu_for <- read_landuse( city = 'Fortaleza', year = 2019, geometry = TRUE ) # Population data pop_for <- read_population( city = 'Fortaleza', year = 2010, geometry = TRUE )
In case you would like to download only the H3 spatial grid of cities in the AOP project, you can use the
h3_for <- read_grid(city = 'Fortaleza')
In all of the functions above, note that:
cityparameter can also be a 3-letter abbreviation of the city.
df <- read_access(city = 'cur', mode = 'public_transport', year = 2019) df <- read_grid(city = 'for')
city = 'all':
all <- read_landuse(city = 'all', year = 2019)
The R package aopdata is developed by a team at the Institute for Applied Economic Research (Ipea), Brazil.
If you use this package in your own work, please cite it as one of the publications below:
Population and land use data