Krithivasan Ramamritham
Biographic Data
| ID | 6924716 |
|---|---|
| NAME | Krithivasan Ramamritham |
| GIVEN NAMES | Krithivasan |
| FAMILY NAME | Ramamritham |
| SIGNATURE | RAMAMRITHAM K |
| AFFILIATIONS | Indian Institute of Technology Bombay |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Urban form as policy variable for climate-sensitive area planning under heterogeneity: A geographically weighted regression approach
Although built-up areas exacerbate the urban heat island (UHI) effect, the thermal impact of heterogeneous urban areas remains unknown. In this study geographically weighted regression (GWR) is used to examine the locally variable relationship between land surface temperatures (LSTs) and urban built form (UBF) indices. Sky view factor, built coverage, vegetation, building height, distance to ecosystem services and surface elevation are shown to h…
Urban form as policy variable for climate-sensitive area planning under heterogeneity: A geographically weighted regression approach
Although built-up areas exacerbate the urban heat island (UHI) effect, the thermal impact of heterogeneous urban areas remains unknown. In this study geographically weighted regression (GWR) is used to examine the locally variable relationship between land surface temperatures (LSTs) and urban built form (UBF) indices. Sky view factor, built coverage, vegetation, building height, distance to ecosystem services and surface elevation are shown to h…
Urban form as policy variable for climate-sensitive area planning under heterogeneity: A geographically weighted regression approach
Although built-up areas exacerbate the urban heat island (UHI) effect, the thermal impact of heterogeneous urban areas remains unknown. In this study geographically weighted regression (GWR) is used to examine the locally variable relationship between land surface temperatures (LSTs) and urban built form (UBF) indices. Sky view factor, built coverage, vegetation, building height, distance to ecosystem services and surface elevation are shown to h…
Civil engineering (1 works) · Climate change (1 works) · Computer Science (1 works) · Digital elevation model (1 works) · Ecology (1 works) · Elevation (ballistics (1 works) · Engineering (1 works) · Environmental Science (1 works) · Floor area ratio (1 works) · Geography (1 works)