<b>The dataset used for exploring spatiotemporal evolution of nighttime light and socio-economic changes at the community-level resolution in Taipei City</b>

This study utilizes Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) nighttime lights (NTL) data from January 2018 to June 2023, sourced from the Google Earth Engine (GEE) platform. In total, 1,211 500-meter grids were created and analyzed based on the administrative boundaries of Taipei City. Various indicators, including land use, road networks, population, electricity consumption, and business prosperity, were integrated into temporal, spatial, and spatiotemporal models using Integrated Nested Laplace Approximations (INLA). Additionally, the Space Time Cube tool in ArcGIS Pro was employed for spatiotemporal pattern analysis.