Open Cities

Kampala

Uganda

Kampala, Uganda

The World Bank is supporting the Government of Uganda to increase resilience against droughts and food insecurity through a Disaster Risk Financing (DRF) program. One goal of this program is to improve access to baseline data and risk related information to quicken the decision making process. The Uganda Open Mapping Program is aims to develop technical capacity at the local and national level in the open mapping. Ggaba parish, Kampala has been identified as the priority area to be mapped. Under the supervision of the World Bank, a team of local companies (MapUganda and GeoGecko) and international entities (HOT and ITHACA) are working to ensure that the planned activities are successfully carried out and the expected outcomes are met. Local and national stakeholders (UBOS, KCCA, OPM) are involved since the beginning of the project to provide requirements in terms of features and attributes to be mapped and support the identification of the most suitable target area in Kampala. One of the main goal is to significantly increase the coverage and the level of detail of reference cartographic data in a target area in Kampala, enabling national and local authorities (e.g. UBOS and KCCA) as well as other institutions/companies to exploit such data for their mandate and for facilitating their daily tasks, such as; addressing risk management related tasks; keeping updated health and education facility inventories; supporting the census data collection and management; and, showcasing the mapping and analytical power of the data collected.

Mapping Progress to Date

This section provides an overview of mapping activities in the selected city geographic extent. The Before/After widget below allows comparing current density and distribution of map features with snapshots from previous years. The time chart of OSM editing activity over time offers insights on how many features have been contributed to the map over a specified period.

Data Quality

While OSM coverage keeps increasing, it's important to also understand quality of the data created. The tools available in this section allow for comparing OSM data with other "reference" datasets. These could be, for example, official datasets from government agencies showing distribution of features with those available OSM. The "Gap Detection" widget provides a visual representation of potential gaps in data, by comparing the latest OSM buildings with built-up areas automatically detected from satellite imagery.

OSM Community Dynamics

Understanding mapping progress and data quality also requires looking at the local OSM community and how mappers have contributed over time. Embedded widgets in this sections allow e.g. exploring the list of top mappers who contributed to features within the city extent, with links to their OSM user profile page. A time chart of number of user contributions over pre-defined time periods (daily, weekly, monthly), also provides a picture of how consistent the mapping activity in the area is.

Date Range

users made contributions