Andrews Barros
Biographic Data
| ID | 6279805 |
|---|---|
| NAME | Andrews Barros |
| GIVEN NAMES | Andrews |
| FAMILY NAME | Barros |
| SIGNATURE | BARROS A |
| ORCID | 0000-0001-5164-6141 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Understanding the land use intensity of residential buildings in Brazil
The verticalization of cities impacts the quality of urban life. The empirical investigation of the determinants of the floor-area ratio (FAR) of lots using the traditional econometric approaches, however, has little explanatory power, and research about it using machine learning (ML) is almost nonexistent. This study applies two ensemble machine learning strategies, random forest (RF) and extreme gradient boosting (XGBoost), to investigate the d…
Understanding the land use intensity of residential buildings in Brazil
The verticalization of cities impacts the quality of urban life. The empirical investigation of the determinants of the floor-area ratio (FAR) of lots using the traditional econometric approaches, however, has little explanatory power, and research about it using machine learning (ML) is almost nonexistent. This study applies two ensemble machine learning strategies, random forest (RF) and extreme gradient boosting (XGBoost), to investigate the d…
Understanding the land use intensity of residential buildings in Brazil
The verticalization of cities impacts the quality of urban life. The empirical investigation of the determinants of the floor-area ratio (FAR) of lots using the traditional econometric approaches, however, has little explanatory power, and research about it using machine learning (ML) is almost nonexistent. This study applies two ensemble machine learning strategies, random forest (RF) and extreme gradient boosting (XGBoost), to investigate the d…
Amenity (1 work) · Computer Science (1 work) · Decision tree (1 work) · Econometrics (1 work) · Economics (1 work) · Empirical research (1 work) · Engineering (1 work) · Ensemble learning (1 work) · Explanatory power (1 work) · Geography (1 work)