Source and use of data in this study
| Data class | Data name | Source | Uses | Details |
|---|---|---|---|---|
| INDCs | INDCs | Fang Wang et al. (2018) | Carbon emissions by countries in 2030 | 165 targets of 192 countries |
| Population density and its prediction | Current population density | SEDAC http://sedac.ciesin.colu-mbia.edu/ | The basis of population density prediction | Grid population density in 2020 Unit: person/km2 |
| Population growth rate | UN-WPP http://population.un.org/wpp/ | Reflecting national differences in population growth | 10 years of population growth from 2020 to 2030 by countries | |
| China’s urban population | China city statistical yearbook http://data.cnki.net/ | Calculate the growth of population in different regions of China | The country is divided into two types of cities and other regions | |
| India’s urban population | UN-WPP http://population.un.org/wpp/ | Calculate the growth of population in different regions of India | The country is divided into megacities and other regions | |
| Map data | World_adm0 | ArcGIS 10.2 | Spatially visualize the data | Geographic coordinate system: WGS1984 |
| Data class | Data name | Source | Uses | Details |
|---|---|---|---|---|
| INDCs | INDCs | Carbon emissions by countries in 2030 | 165 targets of 192 countries | |
| Population density and its prediction | Current population density | SEDAC | The basis of population density prediction | Grid population density in 2020 |
| Population growth rate | UN-WPP | Reflecting national differences in population growth | 10 years of population growth from 2020 to 2030 by countries | |
| China’s urban population | China city statistical yearbook | Calculate the growth of population in different regions of China | The country is divided into two types of cities and other regions | |
| India’s urban population | UN-WPP | Calculate the growth of population in different regions of India | The country is divided into megacities and other regions | |
| Map data | World_adm0 | ArcGIS 10.2 | Spatially visualize the data | Geographic coordinate system: WGS1984 |