Table 2 Multi-source datasets.
Datasets | Year | Type | Resolution | Number/Size | Source |
|---|---|---|---|---|---|
GES image for spatial cities | 2023 | Raster | 0.3–1 m/500*500 pixels | 5E8/20TB | Google Earth (https://www.google.cn/intl/zh-en/earth/) |
Street view image | 2014–2023 | Raster | 800*400 pixels | 6E7/14TB | Baidu Maps (https://map.baidu.com/) |
Building height | 2023 | Polygon | Vector | 1.7E7/8GB | |
POI | 2021 | Point | Vector | 1.4E7/3GB | |
AOI | 2023 | Polygon | Vector | 8.3E6/7GB | |
Spatial cities | 2020 | Polygon | Vector | 3.7E3/108MB | Beijing City Lab (https://www.beijingcitylab.com/) |
Administrative boundaries | 2020 | Polygon | Vector | 6.9E2/17MB | Natural Earth Data (https://www.naturalearthdata.com/downloads/) |
Climate zone | 2017 | Polygon | Vector | 7 / 6MB | Yao et al.78 |
Rooftop labels | 2021 | Raster | Vector | 1.5E4/5GB | Fang et al.79 |
Road | 2019 | Polyline | Vector | 1.3E7/2GB | Amap (https://lbs.amap.com) |
Natural blocks | 2020 | Polygon | Vector | 1.0E6/637MB | Geohey (https://geohey.com) |
Housing trade | 2023 | Text | — | 3.8E6/855MB | Anjuke (https://www.anjuke.com) |
