Geo Spatial Data

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The proliferation of remote sensing technology has created new opportunities for high-resolution, affordable geospatial data, which have great potential as a source of impact evaluation data.


Data Sources

The following are repositories of spatial data. In the following sites pull in spatial data from a variety of sources.

Satellite-Based Datasets

The following are commonly used datasets from satellite imagery or derived from satellite imagery.

  • Nighttime Lights
  • Landcover
  • Landsat

Georeferenced Data Sources

  • Afrobarometer: Afrobarometer has surveyed attitudes on democracy, governance and society across 36 countries in Africa in 6 survey rounds from 1999 to 2015. In partnership with AidData, Afrobarometer has recently geocoded the surveys.


The emergence of georeferenced data has provided opportunities to evaluate foreign investments at lower costs than traditional RCTs. These evaluations have been dubbed Geospatial Impact Evaluations (GIEs); see here for a working paper from AidData that describes methods and applications to perform GIEs. The paper describes a number of papers that conduct GIEs. In addition, it highlights two R packages that employ methods relevant to using geospatial data: (1) geoMATCH, which employs matching while accounting for geographic spillover from treatment to control units and (2) geoSIMEX, which allows users to account for spatial imprecision in analysis.

Examples of Papers

  • Many influential papers using these type of data have been published in journals
  ** J. Vernon Henderson, Adam Storeygard, and David N. Weil. 2012. Measuring Economic Growth from Outer Space. In American Economic Review, 102(2): 994-1028.  Link:
  ** Dave Donaldson and Adam Storeygard. 2016. 'The View from Above: Applications of Satellite Data in Economics'. Journal of Economic Perspectives, 30(4):171-198. Link:

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