DATA Beta

This data was used in Map 1.5 and Map 4.7 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Species numbers are aggregated using a ""tropical livestock unit"" (TLU) (which is equivalent to an animal weight of 250 kilograms) to grid cells of 5x5 km and then averaged by...

World Agroforestry Center (ICRAF) and Department of Resource Surveys and Remote Sensing (DRSRS), Ministry of Environment and Natural Resources. 2001. GIS Database of Land Use and Land Cover for Kenya's Medium to High Potential Districts. DRSRS interpretation of 5,747 aerial photographs from...

World Agroforestry Center (ICRAF) and Department of Resource Surveys and Remote Sensing (DRSRS), Ministry of Environment and Natural Resources. 2001. GIS Database of Land Use and Land Cover for Kenya's Medium to High Potential Districts. DRSRS interpretation of 5,747 aerial photographs from...

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,...

The dataset results from WRI's calculation based on: 1. NATIONAL FOREST AUTHORITY (NFA). 1996. Land Cover GIS Database. Kampala, Uganda: Government of Uganda, NFA. 2. UGANDA BUREAU OF STATISTICS (UBOS). 2002b. 2002 Uganda Population and Housing Census GIS Database. Kampala, Uganda:...

Gazetted areas of Uganda as of 2007.

Contact Uganda Bureau of Statistics for an updated version of subcounty boundaries (Data collection from July 1999-March 2002)

Contact Uganda Bureau of Statistics for an updated version of district boundaries Note that data collection took place from July 1999 to March 2002. The data were updated in 2006.

This data was used in Map 6.2 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Wildlife counts come from a rangeland census using low-altitude flights in Kenya. Numbers of animals observed were aggregated to 5km grid cells. Note: A number of zebra nul should be...

This data was used in Map 5.10 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Species numbers were aggregated using a ""tropical livestock unit"" (TLU) (which is equivalent to an animal weight of 250 kilograms) to grid cells of 5x5 km and then averaged by square...

This data was used in Map 5.12 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Species numbers were aggregated using a ""tropical livestock unit"" (TLU) (which is equivalent to an animal weight of 250 kilograms) to grid cells of 10x10 km and then averaged by square...

This data was used in Map 6.2 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Wildlife counts come from a rangeland census using low-altitude flights in Kenya. Numbers of animals observed were aggregated to 5km grid cells. Note: A number of wildebeest nul should be...

This data was used in Map 6.2 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Wildlife counts come from a rangeland census using low-altitude flights in Kenya. Numbers of animals observed were aggregated to 5km grid cells. Note: A number of giraffes nul should be...

This data was used in Map 6.2 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Wildlife counts come from a rangeland census using low-altitude flights in Kenya. Numbers of animals observed were aggregated to 5km grid cells. Note: A number of elephants nul should be...

This data was used in Map 6.2 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Wildlife counts come from a rangeland census using low-altitude flights in Kenya. Numbers of animals observed were aggregated to 5km grid cells. Note: A number of buffalo nul should be...

Calculations of milk production were done by assessing the number of dairy cattle in an administrative area, and extrapolating out liters of milk per area. Demand for milk was calculated by estimating the milk needs per person, and applying that number to the population density of each area....

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;...

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...

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...