Map Kibera

Map Kibera Trust is an organization based in the Kibera slum in Nairobi Kenya. Map Kibera Trust has continued efforts to transform a marginalized settlement which was previously a blank spot on the map into an increasingly visible and vibrant community. Now a full citizen information and media project, we use tools like mapping, SMS, blogging and video. For more information visit http://www.mapkibera.org/wiki/index.php?title=Main_Page and http://mapkibera.org/

Our Team

The Map Kibera team is continually engaged in mapping projects in Kibera, Nairobi and across Kenya. Our active mappers are linked to OSM accounts muindre fondolucy Peter Agenga.

Please get in touch with any questions or comments, through our user pages or by email to contact at mapkibera dot org.

Mapping Projects

We use the hashtag #mapkibera for all our projects.

Kenya Public Partipatory Budget Mapping

Public Participatory Budgeting (PB) is a program in several counties in Kenya allowing citizens to determine collaboratively the spending of a portion of the county’s development budget. The program is facilitated by the World Bank and Map Kibera has been assigned the duty of training and offering technical support to two counties namely Makueni and Baringo. You can read more at http://www.mapkibera.org/blog/2018/07/17/mapping-counties-with-participatory-budgeting/ and http://www.mapkibera.org/blog/2018/05/30/citizens-and-government-map-makueni-county

Methods

Training focused on the field mapping tools. This saw the youths/ trainees being trained on how to use Garmin GPS units. For the first we also did a training on using mobile data collections such as OpenDataKit and KOBO collect. The trainees were also trained on how to edit the data that they have collected in the field using JOSM and later uploading the data to OpenStreetMap.

In preparation to the field mapping, Map Kibera conducted a mapathon to create a base map for the chosen locations (Makueni & Baringo). In the remote mapping the focus was on roads, buildings and water ways. https://tasks.hotosm.org/project/4275 https://tasks.hotosm.org/project/4272 https://tasks.hotosm.org/project/4273

Tags

Part of the data that we are collecting  for this project is using non-standard tags such as:

• chambers=
• fee=
• hand_wash_point=
• gender=
• government_registered=
• operator_type=
• funded_by
• operated_by=
• operational_status=
• wb_pb:id=
• image:project=
• image:pointofinterest=
• cost=

Team

Some of the youths/trainees from Kabarnet and Ravine ward who are involved in the exercise are

• https://www.openstreetmap.org/user/Maigong
• https://www.openstreetmap.org/user/ronovincent32
• https://www.openstreetmap.org/user/Eryque
• https://www.openstreetmap.org/user/zubeda
• https://www.openstreetmap.org/user/kachoko
• https://www.openstreetmap.org/user/joshuasang
• https://www.openstreetmap.org/user/vintech
• https://www.openstreetmap.org/user/Batuliamin
• https://www.openstreetmap.org/user/kenboi
• https://www.openstreetmap.org/user/almibra
• https://www.openstreetmap.org/user/KABIYET

OpenSchoolsKenya Project

In 2014 Map Kibera kicked off a project dubbed Open Schools kKnya. The goal of the project was to build up on the already existing map of schools in Kibera. This included collecting extra information about the schools such as number of students both male and female, number of teachers both male and female. Whether the school is registered, accessibility of the school and many more. After 3 months of extensive mapping, we managed to map over 350 schools in Kibera and created the first website of schools in Kibera openschoolskenya.org

After the succesful work in Kibera there was a need to scale up the work to other regions of Nairobi, one of the areas that we mapped was Mathare slum. This was done in collaboration with students from University of Nairobi through the Youth Mappers programme. As part of scaling up the work, we recently moved to Kangemi, this was through recommendation from the area Member of Parliament who has been a main user of the Open Schools Kenya website.

Methods

Community forums

Before starting the mapping exercise we had several meetings with different administration offices that are in charge of the area this include the office of the area Member of parliament, District Education Officer for Westalands constituency, the assistant county commisioner for Westlands sub county and the head of non formal schools association schools in Kangemi. We also some of the schools heads and shared about the work that we'll be conducting in the area. After that we did a one week baseline survey to interview parents on which important information could be relevant to them in regards to education.

Training

The training took place in Kangemi and focus topics were on the tools that we would be using in the field. The teams that was being trained comprised of youths selected from different wards in Kangemi division. The training kicked off with a session on how to collect data using OpenDataKit app.This included how to set up the app and how to fill in the survey form while in the fiels. The trainees were also trained on how to edit the data that they will in the field using JOSM and later upload the data to OpenStreetMap.

Remote mapping

In preparation to the field mapping, Map Kibera created a task on hot tasking manager to trace buildings in Kangemi and Kibagare slum. https://tasks.hotosm.org/project/4849 https://tasks.hotosm.org/project/5224

Changset tags

We use #openschoolskenya #kangemi in our changesets for this project

Tags

We are in the process of documenting the standard and non-standard tags. Our internal spreadsheet lists the current working set of tags here.

Import:UN HABITAT Facilities Mapping exercise in Kibera & Mathare

Map Kibera was involved in a mapping exercise co-ordinated by UN HABITAT and community Volunteers to collect data on social amenities and other key facilities and services connected to COVID-19 transmission, prevention and treatment in Mathare, Kibera,Kawangware and Kisumu. The first data mapping in Nairobi took place over three days in each of the locations i.e. Mathare and Kibera. The volunteers were trained in digital data collection using ‘Kobo Collect’ Application; which is an open source mobile application customized to allow for collection of location data. Map Kibera was thereby granted permission by UN Habitat to import the data for Kibera and Mathare onto OpenStreetMap, this was to ensure that there is minimum duplication of data, since Map Kibera has done extensive mapping of the two locations. You can find more details and reports about the project here.

Goals

The data will be used to update already existing data on OSM, review the changes that have occurred in the two informal settlements in regards to new features and those that have been shut down, demolished or moved. The data will be used to produce maps on the distribution, concentration and functional status of facilities to compare with the existing demand in the areas covered. The data will enable the Kenyan Government and the county governments to identify key gaps where services are most needed. The analysis will show areas which are at a higher risk of COVID-19 spread based on the availability of basic services such as water, sanitation and hand washing.

Schedule

The data was subdivided into different categories and assigned each mapper from MKT for data clean up. (Done) Data to be edited on JOSM and saved until further approval of tags. (on going) Create a tag list for the data. (done) Use the filter tool to update already existing data and at the same time add newly added data. (on going) Data to be uploaded on OSM. (starting soon)

Import Data

Some of the data that will be imported to OSM will be the following;

• Waste Collection points
• Education Facilities
• Transport Stops
• Communal Sanitation points i.e. public toilets/bathrooms
• Health Facilities i.e. Chemists/pharmacists, clinics & hospitals
• Juakali artisans (workshops)
• Flood lights
• Social Halls
• Water points
• Local Organizations i.e. NGOs
• Public Spaces
• Local Administrative Offices
• Public Markets

Data Preparation

Tagging scheme was designed by Zack with the help of Mikel Maron. You can check the tags here.

Tagging Plans

OSM Wiki and TagInfo were used to select the closest matching tags.

Quality Assurance (QA)

A quality assurance tool will be set up once the data is uploaded for further validation of the data to ensure there are no issues and the data is fit for public use.