A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing
A 2D raster data representing building volumes of each grids are derived from 3D vector-format urban data for use in machine learning applications. Since the task is to explore patterns, i.e., urban heat islands, Gaussian blurring is implemented on these generated 2D raster data before the training...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Urban Science |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2413-8851/9/5/151 |
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