Water-Energy-Food-Ecosystems
- Number of Crop Types (Crop Richness): The absolute count of distinct cultivated crop species within a given spatial resolution. Crop richness serves as a fundamental baseline indicator of agricultural variety. It allows analysts to rapidly distinguish between highly vulnerable monoculture landscapes and more traditional, diverse multi-cropping or intercropping systems present in the Kenyan study area.
- Crop Diversity (Shannon Diversity Index): Going beyond a simple count, the Shannon Diversity Index evaluates both the abundance (the number of different crop types) and the evenness (the proportional spatial distribution of those crops). A higher index value indicates a highly diverse and balanced cropping ecosystem. Because evenly diverse systems are typically more resilient to climate volatility, pests, and diseases, this layer is a vital proxy for assessing local agroecological health.
This layer represents the predicted likelihood that a given settlement is electrified, with values ranging from 0 (no electricity) to 1 (fully electrified). The data are derived from the High Resolution Electricity Access (HREA) dataset, which combines satellite observations of night-time lights with population settlement layers to estimate electricity access. Areas with low predicted electrification can help identify where decentralized renewable energy solutions may be most impactful in closing electricity access gaps.
The current version of the GDW database (version 1.0) aims to catalogue all types of anthropogenic instream barriers. While initial mapping efforts prioritize major dams that form reservoirs, as well as run-of-river barriers on larger rivers where more information is readily available, the dataset comprises two distinct but interconnected spatial layers:
- Barrier and Dam Locations (Point Layer): Contains barrier and dam locations, geospatially referenced as point coordinates and co-registered to the global river network of HydroSHEDS.
- Reservoir Extents (Polygon Layer): Contains associated reservoir polygons, which includes data representing the maximum storage capacity of the reservoirs measured in million cubic meters.
African countries have an evident potential for solar energy. Knowing the amount of solar radiation reaching the earth's surface is of particular interest for photovoltaic installations. It can be represented by the Global Horizontal Irradiation: the total amount of energy received from the Sun by a surface horizontal to the ground during a period of time, expressed in Wh/m2. This map shows the yearly average (2005-2015) global horizontal irradiation (kWh/m2).