Table 1 Selection and description of driving factors of this study.
From: Ecosystem services scenario simulation in Guangzhou based on the FLUS-InVEST model
Data type | Data name | Factor description |
|---|---|---|
LUCC | land use | Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences(https://www.resdc.cn) |
FLUS model factor data | Elevation | Geospatial Data Cloud |
Slope | Based on DEM data, the surface analysis tool in ArcGIS software is used to obtain | |
Aspect | ||
River | Resource Environment Data Cloud Platform | |
(https:// www.resdc.cn/) | ||
Distance from the city center | Gaud map API Crawler Data (https://lbs.amap.com/) | |
Distance from the county center | ||
Distance from highway | ||
Distance from railway | ||
Distance from Class I road | ||
Population density | Resource Environment Data Cloud Platform (https://www.resdc.cn/) | |
InVEST model factor data | Evapotranspiration | Amazon AWS Web Platform |
Precipitation | National Earth System Science Data Center, National Science & Technology Infrastructure of China (https://www.geodata.cn/) | |
Root Restricting Layer Depth | Chinese soil dataset based on the Harmonized World Soil Database (HWSD) (v1.1) (https://www.ncdc.ac.cn) |
