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 development version of the package via GitHub:
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.