Table 1 Datasets used for our analysis. All relevant spatial datasets were resampled to 30-m raster images, which are in the Krasovsky coordinate system with a standard local Albers projection.
From: Spatial assessment of settlement consolidation potential: insights from Zhejiang Province, China
Variables | Time | Resolution | Data source |
---|---|---|---|
Settlement consolidation projects dataset | 2018–2022 | / | Zhejiang Province Government |
Land use | 2018, 2022 | 30 m | China land cover dataset (CLCD) |
Building height | 2020 | 10 m | Wu et al. (2023) |
Euclidean distance to the railway | 2018 | 30 m | OpenStreetMap |
Euclidean distance to roads | 2018 | 30 m | |
Population density | 2000, 2010, 2018 | 100 m | WorldPop |
Euclidean distance to IUCN strict natural reserve and wildness area edges | 2017 | 100 m | |
Elevation | / | 30 m | ASTER DEMv3 |
Slope | / | 30 m | |
Soil organic density | 2020 | 250 m | SoilGrids |
Soil pH | 2020 | 250 m | |
Soil nitrogen | 2020 | 250 m | |
Annual mean temperature | 1970–2000 | 1000 m | WorldClim version 2.1 |
Annual precipitation | |||
Solar radiation |