Spatial statistical analysis and simulation of the urban heat island in high-density central cities

- Spatial regression analysis is used to explain the urban heat island (UHI), accounting for spatial autocorrelations.
- Three- and two-dimensional variables are integrated within uniform grids of various scales to model land surface temperatures.
- Solar radiation, open space, vegetation, building rooftops, and water strongly impact land surface temperatures.
- The estimated general spatial model is used to simulate temperature effects of greening scenarios in Columbus, OH.
- The results illustrate the potential of such models to help mitigate the UHI through urban design and land-use policies.