Package 'waterpumpkwale'

Title: Weekly Handpump Water Volumes, Kwale County, Kenya 2014-2015
Description: This dataset contains a summary of the weekly volumetric output of handpumps monitored using Smart Handpump sensors in 2014 and 2015 in Kwale County, Kenya, together with the locations of the monitored pumps.
Authors: Patrick Thomson [aut], Rob Hope [aut], Tim Foster [aut], Mian Zhong [aut] (ORCID: <https://orcid.org/0009-0009-4546-7214>), Lars Schöbitz [cre] (ORCID: <https://orcid.org/0000-0003-2196-5015>)
Maintainer: Lars Schöbitz <[email protected]>
License: CC BY 4.0
Version: 0.0.1
Built: 2026-09-24 05:15:33 UTC
Source: https://github.com/openwashdata/waterpumpkwale

Help Index


Location information of the water pumps

Description

Location information of the water pumps

Usage

location

Format

A tibble with 299 rows and 6 variables

pumpid

ID number of the water pump

description

Name of the pump location

x_arc1960

Easting in metres, Arc 1960 / UTM zone 37S

y_arc1960

Northing in metres, Arc 1960 / UTM zone 37S

lat_wgs84

Latitude in WGS 84 coordinate system

long_wgs84

Longitude in WGS 84 coordinate system

Source

British Geological Survey, National Geoscience Data Centre: https://metadata.bgs.ac.uk/geonetwork/srv/eng/catalog.search#/metadata/9ed6c5d2-124b-50ed-e054-002128a47908


Weekly volume in year 2014

Description

Weekly volume in year 2014

Usage

weeklyvol2014

Format

A tibble with 324 rows and 53 variables

pumpid

ID number of the water pump

1, 2, ..., 52

Volume of water pumped in week 1 to 52 of 2014, one column per week

Source

British Geological Survey, National Geoscience Data Centre: https://metadata.bgs.ac.uk/geonetwork/srv/eng/catalog.search#/metadata/9ed6c5d2-124b-50ed-e054-002128a47908


Weekly volume in year 2015

Description

Weekly volume in year 2015

Usage

weeklyvol2015

Format

A tibble with 297 rows and 53 variables

pumpid

ID number of the water pump

1, 2, ..., 52

Volume of water pumped in week 1 to 52 of 2015, one column per week

Source

British Geological Survey, National Geoscience Data Centre: https://metadata.bgs.ac.uk/geonetwork/srv/eng/catalog.search#/metadata/9ed6c5d2-124b-50ed-e054-002128a47908