DATA Beta

Rural safe water coverage as defined by the Directorate of Water Development, Ministry of Water and Environment, Uganda. Data used in maps 3, 4, 5, 6 of ""Mapping a Healthier Future: How Spatial Analysis Can Guide Pro-Poor Water and Sanitation Planning in Uganda."" from Health Planning...

Locations of dam were approximately located by WRI based on SoK 1971, and MoWD and JICA 1992a, 1992b, 1992c. This data was used in Map 3.10 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

Locations of dam were approximately located by WRI based on SoK 1971, MoWD and JICA 1992a, 1992b, 1992c, Nyaoro 1999, and Wambua 2003. This data was used in Map 3.9 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

Calculations done by the World Resources Institute. This data was used in Map 3.7 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

WRI/ILRI calculation based on animal data from DRSRS 2003; Grunblatt et al. 1995, 1996; and daily water requirements for selected species from MoWD and JICA 1992, Peden at al. 2003, 2004. This data was used in Map 3.13 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

Awareness around the physical, regulatory, and reputational water risks to companies and their investors is on the rise and robust, comparable and comprehensive data is needed to help assess these water-related risks. In response to this demand, the World Resources Institute developed the...

Companies can use this information to prioritize actions, investors to leverage financial interest to improve water management, and governments to engage with the private sector to seek solutions for more equitable and sustainable water governance. Aqueduct Global Maps 2.0 includes indicators of...

Locations of hydropower sites were approximately located by WRI based on SoK 1971, KenGen 2006, and from MoWD and JICA 1992a, 1992b, 1992c. This data was used in Map 3.11 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

Some data were used in maps 4, 5, 6, 7, 8, 9, 10 of ""Mapping a Better Future: How Spatial Analysis Can Benefit Wetlands and Reduce Poverty in Uganda."" from Wetlands Management Department, Ministry of Water and Environment, Uganda; Uganda Bureau of Statistics; International Livestock Research...

This data was used in Map 3.12 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

Data used in maps 7, 8, 9, 10, 11, 12, 13 of "Mapping a Healthier Future: How Spatial Analysis Can Guide Pro-Poor Water and Sanitation Planning in Uganda." from Health Planning Department, Ministry of Health, Uganda; Directorate of Water Development, Ministry of Water and Environment, Uganda;...

Calculations done by the World Resources Institute. This data was used in selected maps in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

This dataset results from the combination of three datasets: 1. NATIONAL FOREST AUTHORITY (NFA). 1996. Land Cover GIS Database. Kampala, Uganda: Government of Uganda, NFA. 2. NATIONAL IMAGERY AND MAPPING AGENCY (NIMA). 1997. Vector Map Level 0 (Digital Chart of the World), 3rd Edition....

This dataset was used as base data in Reefs at Risk. Point locations of reported observations of coral bleaching between 1963 and 2010. This dataset was built upon an original bleaching database developed at UNEP-WCMC, and has been maintained and updated regularly by ReefBase since early 2002.

Data compiled by the International Water Management Institute (IWMI), Nairobi, Kenya. This data was used in Map 3.12 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being.

This data was used in selected maps in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Original data are downloadable at www.africover.org.

Data used in map 2 of "Mapping a Better Future: How Spatial Analysis Can Benefit Wetlands and Reduce Poverty in Uganda." from Wetlands Management Department, Ministry of Water and Environment, Uganda; Uganda Bureau of Statistics; International Livestock Research Institute; and World Resources...

For the current scenario, we used hydrological data from 1960 through 1999 for generating flood inundations for 9 return periods, from 2-year flood to 1000-year flood, and 2010 GDP, population, and land use data for assessing flood impacts. For future projections, we used 5 GCMs (Global Climate...

This dataset was used as base data in Reefs at Risk. Map of blast and poison fishing (1 km grid) was developed for use in the Reefs at Risk Revisited project as a component of the model of overfishing and destructive fishing pressure on coral reefs. This layer designates threat of blast and...

The dataset results from WRI's calculation based on 1. NATIONAL FOREST AUTHORITY (NFA). 1996. Land Cover GIS Database. Kampala, Uganda: Government of Uganda. 2. KARANJA, F., L. EMERTON, J. MAFUMBO, AND W. KAKURU. 2001. Assessment of the Economic Value of Pallisa District Wetlands. Kampala,...