DATA Beta

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....

The poverty indicators produced by the Uganda Bureau of Statistics (UBOS) are based on household consumption expenditures, including both food and a range of nonfood items such as education, transport, health, and rent. Households are defined as poor when their total expenditures fall below...

This dataset was used as base data in Reefs at Risk. Shipping activity data used in the model of threat to coral reefs from marine-based pollution and damage in the Reefs at Risk Revisited project. This dataset was derived at WRI from the World Meteorological Organization Voluntary Observing...

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;...

The cell values represent illumination value from 0 - 255. Shaded relief surfaces are mainly used as background in mapping and displaying data. [RETURN] This spatial data set is a derivative product of the Shuttle Radar Topography Mission(SRTM) digital elevation model(DEM) data set. The SRTM DEM...

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.

This dataset is part of the base data used for Reefs at Risk Revisited. To assess the level of protection and management for coral reefs around the world. The map of MPAs and associated management effectiveness scores were used to adjust pressure from overfishing and destructive fishing in the...

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...

The objective of the SRTM mission is to obtain elevation radar data on a near-global scale and generate the most complete high-resolution digital topographic database of the Earth. The information collected by SRTM will be used to provide a tool to enhance the activities of scientists, the...

Effective emergency planning and response requires quick and easy access to accurate, up-to-date information. DigitalGlobe’s FirstLook is an online subscription service for emergency management that provides fast web-based access to pre-and post-event imagery of world disasters delivered to...

Effective emergency planning and response requires quick and easy access to accurate, up-to-date information. DigitalGlobe’s FirstLook is an online subscription service for emergency management that provides fast web-based access to pre-and post-event imagery of world disasters delivered to...

Effective emergency planning and response requires quick and easy access to accurate, up-to-date information. DigitalGlobe’s FirstLook is an online subscription service for emergency management that provides fast web-based access to pre-and post-event imagery of world disasters delivered to...

The World Database on Protected Areas (WDPA) is the most comprehensive global spatial data set on marine and terrestrial protected areas available. Protected area data are provided via Protected Planet, the online interface for the World Database on Protected Areas (WDPA). The WDPA is a joint...

"The Intact Forest Landscapes (IFL) data set identifies unbroken expanses of natural ecosystems within the zone of forest extent that show no signs of significant human activity and are large enough that all native biodiversity, including viable populations of wide-ranging species, could be...