This package contains four datasets from an urban water and sanitation survey in Dhaka, Bangladesh conducted by Water and Sanitation for the Urban Poor with technical support from Valid International in March 2017.
popBGD
: Dataset on estimated population of each primary sampling
unit (PSU) that were surveyed. This dataset is a mix of data from
WorldPop for the non-slum areas and from
the 2014 Bangladesh Census of Slum Areas and Floating
Population.
ppiMatrixBGD
: Look-up table for calculating the
Poverty Probability Index
(previously called
Progress out of Poverty Index
) or PPI
from Bangladesh-specific
indicators collected from cross-sectional surveys. This look-up table
is extracted from documentation of the PPI
found at
https://www.povertyindex.org
surveyDataBGD
: Dataset collected through the urban water and
sanitation surveys conducted by WSUP in Dhaka, Bangladesh.
indicatorsDataBGD
: Dataset produced from surveyDataBGD
by
calculating relevant indicators on water, sanitation and hygiene as
specified and defined by WSUP
This survey in Dhaka is one of a series of surveys to be conducted by WSUP in various cities in which they operate including Accra, Ghana; Nakuru, Kenya; Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This package will be updated once the surveys in other cities are completed and datasets have been made available.
To install the package, issue the following commands in R:
install.packages("washdata")
Install development version of the package via GitHub:
# if (!require) remotes install.packages("remotes")
remotes::install_github("katilingban/washdata")
If you find the washdata
package useful please cite using the
suggested citation provided by a call to the citation()
function as
follows:
citation("washdata")
#> To cite washdata in publications use:
#>
#> Ernest Guevarra (2024). _washdata: Urban Water and Sanitation Survey
#> Dataset_. doi:10.5281/zenodo.4058890
#> <https://doi.org/10.5281/zenodo.4058890>, R package version 0.1.4,
#> <https://katilingban.io/washdata/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {washdata: Urban Water and Sanitation Survey Dataset},
#> author = {{Ernest Guevarra}},
#> year = {2024},
#> note = {R package version 0.1.4},
#> url = {https://katilingban.io/washdata/},
#> doi = {10.5281/zenodo.4058890},
#> }
Feedback, bug reports and feature requests are welcome; file issues or seek support here. If you would like to contribute to the package, please see our contributing guidelines.
This project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
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