cbssuitabilityhaiti

The goal of cbssuitabiility is to provide datasets for research and planning of water and solid waste management in Cap Haïtien, Haiti. This package combines datasets collected as part of two different projects. The package includes geospatial data about the locations of water access points and data from a sanitation zoning report for the municipality of Cap Haïtien.

Installation

You can install the development version of cbssuitabilityhaiti from GitHub with:

# install.packages("devtools")
devtools::install_github("openwashdata/cbssuitabilityhaiti")

Alternatively, you can download the individual datasets as a CSV or XLSX file from the table below.

dataset	CSV	XLSX
okap	Download CSV	Download XLSX
mwater	Download CSV	Download XLSX

Datasets

This data package has two datasets, mwater and okap.

mwater

Water point data for the city of Cap Haitien, Haiti. The data collection and characterization was done between 2016 and 2022.

library(cbssuitabilityhaiti)

The mwater data set has 7 variables and 1849 observations. For an overview of the variable names, see the following table.

mwater

variable_name	variable_type	description
latitude	double	Lattitude coordinate
longitude	double	Longitude coordinate
administra	character	Communal section- smallest administrative unit in Haiti
type	character	Type of water access point
date_added	double	Date water access point was added to mWater
datasets	character	Dataset in mWater that point is part of, including organizaiton that is responsible for data
geometry	list	Geospatial data of the different access points that were added to mWater

Below is a map of the water points in this dataset.

Locations of water access points in this dataset

Projet Eau et Assainissement de l’USAID

Sanitation zoning assessment for the Cap Haïtien, Haiti region.

Description

The study, based on three basic criteria (physical, urban characteristics and socioeconomic constraints of the zones), divides the Cap-Haïtien metropolitan area into homogeneous zones in order to propose adapted sanitation solutions for each zone based on a set of predefined criteria.

Data

This data includes data from a sanitation zoning report done for the city of Cap Haïtien, Haiti in 2022. Additionally, it contains spatial data about the neighborhoods of 5 different Haïtien cities. The attribute table includes data on population density, socioeconomic status, suitability of pit latrines, and suggested sewage construction priority zones.

These data were developed under the USAID Water and Sanitation Project in collaboration with the Cap-Haitian municipal government and DINEPA. These data do not reflect the opinion of USAID or the US Government.

library(cbssuitabilityhaiti)

The okap data set has 13 variables and 198 observations. For an overview of the variable names, see the following table.

okap

variable_name	variable_type	description
neighborho	double	Unique identifying number for each neighborhood unit
name	character	Name of each nieghborhood unit
sup_km2	double	Area of neighborhood in square km
cte	character	Name of commune (administrative unit in Haiti)
economy	character	Categorical socioeconomic status (low, medium)
sup_bati_km2	double	area of neihborhood covered by buildings in square kilometers
density	integer	Categorical population density (least dense, somewhat dense, dense, very dense, most dense)
aptitude	character	suitability of the site for a wastewater treatment system
zoning	character	“group” if collective or grouped sanitation is possible in short term.
latrine	character	Suggested pit latrine and septic allowance (allowed, not allowed)
density_ra	double	Catgoriccal population density according to the description of the variable “density” (values from 1 to 5)
economy_nu	double	Categotical socioeconomic status according to the description of the variable “economy” (1=low, 2 = medium)
geometry	list	Geospatial data of the neighborhood stored as a polygon

Source

https://data.humdata.org/dataset/cap-haitien-haiti-sanitation-zoning-assessment

Examples

The code below is an example which shows how you could use the data to prepare a map in R. Find this and more examples in the prepared examples article (vignette("examples")).

library(cbssuitabilityhaiti)
library(tidyverse)
library(sf)
library(tmap)


## create an interactive map for cap haitien

# set mapping mode to interactive ("view")
tmap_mode("view")

# create first map layer: neighborhood areas
tm_shape(filter(okap, cte == "ctecaphaitien")) +
  tm_borders() +
  tm_fill(alpha = 0.6) +
  # create second map layer: locations and type of the water points
  tm_shape(drop_na(st_join(mwater, okap), neighborho)) +
  tm_dots(col = "type", palette = "PuRd")

Screenshot of the an interactive map with OpenStreetMap layer.

License

Data are available as CC-BY.

Citation

Please cite using:

citation("cbssuitabilityhaiti")
#> To cite package 'cbssuitabilityhaiti' in publications use:
#> 
#>   Loos S, Kramer S, Lubeck-Schricker M (2023). "cbssuitabilityhaiti:
#>   Data for a sanitation zoning assessment done for Cap Haitien, Haiti."
#>   doi:10.5281/zenodo.8361085 <https://doi.org/10.5281/zenodo.8361085>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Misc{looskramer,
#>     title = {cbssuitabilityhaiti: Data for a sanitation zoning assessment done for Cap Haitien, Haiti},
#>     author = {Sebastian Camilo Loos and Sasha Kramer and Maya Lubeck-Schricker},
#>     doi = {10.5281/zenodo.8361085},
#>     year = {2023},
#>     abstract = {This package contains data for a sanitation zoning assessment done for the city of Cap Haitien, Haiti. It combines two datasets used for an analysis of the suitability of container-based sanitation (CBS).},
#>     version = {0.0.1},
#>   }

Additional data use information

Anyone interested in publishing the data:

Sanitation zoning assessment data (okap) should be attributed with “These data were developed under the USAID Water and Sanitation Project in collaboration with the Cap-Haitian municipal government and DINEPA. These data do not reflect the opinion of USAID or the US Government.”

Provide authors/contributors information

Hey @mayalubecks

I had a look into the datasets and I am excited about its content. Since one of the main goals of the openwashdata project is to give credit to all contributors to a dataset, we would like you to add the author information for the datasets to the repository.

You can do it in a similar way as you did with the dictionary.

Step 1

You can download the authors.xlsx file from the following link:

https://github.com/openwashdata/cbssuitabilityhaiti/raw/main/data-raw/authors.xlsx

Step 2

Open the file on your computer and fill in the rows with the authors information:

first_name, given names
last_name, last names
email
role, provide one or more three-letter codes specifying the role of the contributor.
These are the most common ones:
cre: creator or maintainer, maintains the package and is the contact person
aut: authors, made significant contributions
ctb: contributors, made smaller contributions
dtc: data contributor, contributed data sets
fnd: funder
orcid, add the authors/contributors Orcid number so that the data package can be linked automatically later on.

There are two examples already in the spread sheet.

Step 3

Upload the completed authors.xlsx file back into the data-raw folder using the same steps as in Issue #1.

Please feel free to add all known contributors, also the people who conducted/supervised a survey/interview or collected spatial data points for example. This way, everybody can get acknowledged and have a reference to show.

If you have any questions please go ahead and contact me.
Thank you very much for working through this with us!

openwashdata / cbssuitabilityhaiti Goto Github PK