aopdata is an R package to download data from theAccess 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.
Theaopdata 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 theAOP website.
Installation
# From CRANinstall.packages("aopdata")library(aopdata)# or use the development version with latest featuresutils::remove.packages('aopdata')devtools::install_github("ipeaGIT/aopdata", subdir="r-package")library(aopdata)Overview of the package
Theaopdata package includes five core functions.
read_population()- Download population dataread_landuse()- Download landuse dataread_access()- Download accessibility estimatesaopdata_dictionary()- Opens aopdata data dictionary on a web browserread_grid()- Download the H3 hexagonal spatial grid
For a detailed explanations of these functions, check thevignettes: -Mapping urban accessibility -Mapping population data -Mapping land use data -Analyzing inequality in access to opportunities
for Portuguese
aopdata_dictionary(lang = ‘pt’)
### Accessibility estimatesThe `read_access()` function downloads accessibility estimates for a given `city`, `mode` and `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 `public_transport`and `car` modes.```{r}# Download accessibility, population and land use datacur <- read_access( city = 'Curitiba', mode = 'public_transport', peak = TRUE, year = 2019 )You many also set the parametergeometry = TRUE so that functions return a spatialsf object with the geometries of the H3 spatial grid.
{r} # Download accessibility, population and land use data cur <- read_access( city = 'Curitiba', mode = 'public_transport', peak = TRUE, year = 2019, geometry = TRUE )
Population and land use data
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.
```{r} # 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 )
### Read only spatial grid dataIn case you would like to download only the H3 spatial grid of cities in the AOP project, you can use the `read_grid()` function.```{R}h3_for <- read_grid(city = 'Fortaleza')Note
In all of the functions above, note that:
- The
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')- You may also download the data for all cities of the project at once using
city = 'all': ```{R} all <- read_landuse(city = ‘all’, year = 2019)
```
Acknowledgement
The R packageaopdata is developed by a team at the Institute for Applied Economic Research (Ipea), Brazil.
Citation
If you use this package in your own work, please cite it as one of the publications below:
Population and land use data
- Pereira, Rafael H. M. et al. (2022) Distribuição espacial de características sociodemográficas e localização de empregos e serviços públicos das vinte maiores cidades do Brasil.Texto para Discussão 2772. Ipea - Instituto de Pesquisa Econômica Aplicada.http://dx.doi.org/10.38116/td2772
Accessibility data
- Pereira, Rafael H. M. et al. (2022) Estimativas de acessibilidade a empregos e serviços públicos via transporte ativo, público e privado nas 20 maiores cidades do Brasil em 2017, 2018, 2019.Texto para Discussão 2800. Ipea - Instituto de Pesquisa Econômica Aplicada.http://dx.doi.org/10.38116/td2800