The dataset comprises a set of 450m resolution raster datasets (and accompanying TFW files) of predicted probability of electricity access in Eswatini. These are drived from random forest modelling of Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) nighttime light and other anciallry data for the period 2013 to 2019. The value of each pixel idnicates the probability of a household occupying that pixel having access to electricity. The files ending with Q_LOW and Q_HIGH indicate the lower and upper bounds of the prediction interval (95%)
To implement a new mixed approach for electricity energy consumption estimates, this study aimed to ...
Amount of night lights in an area is a proxy indicator of electricity consumption. This is interlink...
Electric power services are fundamental to prosperity and economic development. Disruptions in the e...
Unreliable electricity supplies are common in developing countries and impose large socio-economic c...
Spatially explicit data on electricity access and use are essential for effective policy-making and ...
Access to electricity (the proportion of the population with access to electricity) is a key indica ...
Household electricity access data in Africa are scarce, particularly at the subnational level. We fo...
Remote sensing data has the potential to revolutionize social science. One of the most prominent ex...
Household electricity access data in Africa are scarce, particularly at the subnational level. We fo...
<p>Remote-sensing data has the potential to revolutionize social science. One of the most prominent ...
To design energy access solutions for rural households in developing countries it is important to ha...
Electricity is essential in the modern world. Although India is near reaching 100% electrification, ...
Abstract: One emerging application of night-time light imagery focuses on estimating levels of acces...
This data set is time series electricity use data from rural households using off-grid energy system...
Amount of night lights in an area is a proxy indicator of electricity consumption. This is interlink...
To implement a new mixed approach for electricity energy consumption estimates, this study aimed to ...
Amount of night lights in an area is a proxy indicator of electricity consumption. This is interlink...
Electric power services are fundamental to prosperity and economic development. Disruptions in the e...
Unreliable electricity supplies are common in developing countries and impose large socio-economic c...
Spatially explicit data on electricity access and use are essential for effective policy-making and ...
Access to electricity (the proportion of the population with access to electricity) is a key indica ...
Household electricity access data in Africa are scarce, particularly at the subnational level. We fo...
Remote sensing data has the potential to revolutionize social science. One of the most prominent ex...
Household electricity access data in Africa are scarce, particularly at the subnational level. We fo...
<p>Remote-sensing data has the potential to revolutionize social science. One of the most prominent ...
To design energy access solutions for rural households in developing countries it is important to ha...
Electricity is essential in the modern world. Although India is near reaching 100% electrification, ...
Abstract: One emerging application of night-time light imagery focuses on estimating levels of acces...
This data set is time series electricity use data from rural households using off-grid energy system...
Amount of night lights in an area is a proxy indicator of electricity consumption. This is interlink...
To implement a new mixed approach for electricity energy consumption estimates, this study aimed to ...
Amount of night lights in an area is a proxy indicator of electricity consumption. This is interlink...
Electric power services are fundamental to prosperity and economic development. Disruptions in the e...