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Updated: Mar 31, 2026

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
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Night-time light (NTL) effectively proxies population and establishment density, but shows weaker correlation with wages. Radiance light offers a closer link to economic activity than saturated light.

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Area of Science:

  • Remote Sensing
  • Geospatial Analysis
  • Urban Economics

Background:

  • Night-time light (NTL) is increasingly considered an alternative data source for socio-economic indicators due to infrequent census data collection.
  • Accurate, fine-grained socio-economic data is crucial for policy-making and resource allocation.

Purpose of the Study:

  • To investigate the statistical relationship between NTL and economic activity at a fine-grained geographical level.
  • To assess the efficacy of NTL as a proxy for urbanization, density, and economic growth.

Main Methods:

  • Utilized correlation analysis and geographically weighted regressions.
  • Employed a fine-grained, geo-coded micro-data set for residential and industrial samples in Sweden.
  • Matched micro-data with radiance and saturated light emissions data.

Main Results:

  • NTL showed a strong correlation with population and establishment density.
  • The correlation between NTL and wages was weaker compared to density.
  • Radiance light demonstrated a stronger association with economic activity than saturated light.
  • NTL's proxy accuracy for economic activity varied, being overestimated in urban and underestimated in rural areas.

Conclusions:

  • NTL serves as a viable proxy for population and establishment density at a fine-grained level.
  • NTL's utility as a proxy for economic activity, particularly wages, is context-dependent and requires careful calibration.
  • Radiance NTL data provides a more reliable indicator of economic activity than saturated NTL data.