Topic: mapping

Deforestation in the Democratic Republic of Congo

Forest Cover in the Democratic Republic of Congo

The Interactive Forest Atlas is both an information management tool and an aid to decision makers working to support the sustainable use of forest resources in the Democratic Republic of Congo.

As a result of rapid development over the last 40 years, the vast majority of land in the southern U.S. has been in some way impacted by humans.

Overview

As a result of rapid development over the last 40 years, the vast majority of land in the southern U.S. has been in some way impacted by human activity.

Common data and clear definitions will enable the Roundtable on Sustainable Palm Oil and REDD+ policy-makers to achieve a shared goal: sustainable oil palm expansion on degraded land in Indonesia.

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.

The World Resources Institute (WRI) is unveiling today a new set of maps illustrating possible market opportun

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.