| Title: | Data on Faecal Sludge Transporting Logistics in Kampala, Uganda |
|---|---|
| Description: | Contains two data resources. `trips` contains the GPS locations of faecal sludge emptying trucks collecting sludge from pit latrines and septic tanks in Kampala, Uganda. Each trip is recorded with a unique identifier, the numberplate of the truck, the date and time of the record. Data was collected from 30th March 2015 until 25th June 2015. `trucks` has additional information on the volume of each truck. |
| Authors: | Lars Schöbitz [aut, cre] (ORCID: <https://orcid.org/0000-0003-2196-5015>), Jos van der Ent [ctb] (ORCID: <https://orcid.org/0009-0009-3940-3943>) |
| Maintainer: | Lars Schöbitz <[email protected]> |
| License: | CC BY 4.0 |
| Version: | 1.0.0 |
| Built: | 2026-10-03 13:40:30 UTC |
| Source: | https://github.com/openwashdata/fslogisticskampala |
This dataset contains the GPS locations of faecal sludge trucks collecting sludge from pit latrines and septic tanks in Kampala, Uganda. Each trip is recorded with a unique identifier, the numberplate of the truck, the date and time of the record. Data was collected from 30th March 2015 until 25th June 2015.
tripstrips
A tibble with 5653 rows and 7 variables
Running ID for each recorded GPS location of a truck.
Numberplate of the truck, can be joined with trucks resource.
Date of the record in ISO 8601 format.
Time of the record in hours, minutes, seconds.
Latitude of the record.
Longitude of the record.
Treatment plant that the truck delivered faecal sludge to.
head(trips) # Number of recorded trips per treatment plant table(trips$plant)head(trips) # Number of recorded trips per treatment plant table(trips$plant)
Additional information on the volume of each truck used in the dataset trips.
truckstrucks
A tibble with 33 rows and 2 variables
Numberplate of the truck, can be joined with trips resource.
Volume of the truck in cubic meters.
head(trucks) # Join truck volumes onto the trips they made merge(trips, trucks, by = "numberplate") |> head()head(trucks) # Join truck volumes onto the trips they made merge(trips, trucks, by = "numberplate") |> head()