Topic: east africa

Global Forest Watch 2.0 is a powerful near real-time forest monitoring system that unites satellite technology, data sharing, and human networks around the world to fight deforestation.

Spatial information – including where different populations live and where natural resources are located – is essential for sound development planning and decision-making. A new website launched today, Virtual Kenya, opens up a wealth of maps and spatial data about the country for citizens and students to use.

Building the capacity of developing countries to track progress towards meeting domestic climate, energy, and development goals.

The following Q&A and photo essay originally appeared on allAfrica.com, and are reposted with permission.

This working paper examines whether new rules from the U.S. Securities and Exchange Commission could help bring transparency to Uganda’s oil industry.

Can new SEC disclosure rules help bring transparency to Uganda’s oil sector?

A new set of state-of-the art maps will help Uganda target livestock infrastructure investments and reduce poverty.

Mapping a Better Future: Spatial Analysis and Pro-Poor Livestock Strategies in Uganda

This report uses mapping data to examine the spatial relationships between poverty, livestock production systems, the location of livestock services, in order to ensure that government investments in the livestock sector benefit smallholders and high-poverty locations.

Tsetse Distributions, Uganda

It is estimated that some 70 percent of Uganda is infested with 11 species of tsetse, each of which occupies a different ecological niche.

A milk surplus and deficit map can be compared with maps showing poverty rates and poverty densities in order to plan more pro-poor dairy interventions.

A milk surplus and deficit map can be compared with maps showing poverty rates and poverty densities in order to plan more pro-poor dairy interventions.

This map compares potential local milk supply and demand and shows clear patterns of net milk surplus and deficit. The map comes from an analysis using geographic information system (GIS) data coup

This map gives a visual representation of the poverty density: the number of poor per square kilometer in 2005.

Geography can play a role in determining relative levels of household well-being, as can be seen in Uganda’s latest poverty maps (for 2005).