Table 1.
Socioeconomic High-resolution Rural-Urban Geographic data sets used for geospatial analysis of association of contextual factors with health in Bihar, India*
Title | Description | Data year used in the study |
---|---|---|
Population Census data (1991-2011) |
Extensive demographics and a detailed listing of public goods for all towns and villages in India for the years 1991, 2001, and 2011. |
2011 |
All-India Forest Cover (Vegetation Continuous Fields) (2000-2019) |
Forest cover data derived from tree cover measured at 250-m resolution by Vegetarian Continuous Fields, a MODIS product, from 2000-2019. A machine-learning algorithm derived from broad spectrum satellite images and trained with human-categorised data predicted VCF. It can distinguish between crops, plantations, and primary forest cover. |
2014 |
All-India Night Lights (1994-2013) |
National Oceanic and Atmospheric Administration (NOAA) gridded night lights data, available annually from 1992-2013, were matched to village and town polygons and aggregated into totals and means. Estimates were calibrated for consistency among all years. Night lighting is often used as a proxy for economic activity when time series data on this is unavailable. |
2013 |
Pradhan Mantri Gram Sadak Yojana | Administrative data on national rural road construction at the village-level. Includes road completion dates, completion time, costs, overruns, construction materials, and beyond. | 2011 |
*Adapted from “Available Data” by the Data Development Laboratory, 2020, (http://www.devdatalab.org/shrug_download/).