Table 18 Global disaggregation for agents defined with two spatial characteristics.

From: MUSE-RASA captures human dimension in climate-energy-economic models via global geoAI-ML agent datasets

Global agents

Classes

Global agents

Classes

[spatially-resolved and time-explicit]

[spatially-resolved and time-explicit]

GDPpc

HDpc

GDPpc

HDpc

A’1

1

1

A’13

1

3

A’2

2

1

A’14

2

3

A’3

3

1

A’15

3

3

A’4

4

1

A’16

4

3

A’5

5

1

A’17

5

3

A’6

6

1

A’18

6

3

A’7

1

2

A’19

1

4

A’8

2

2

A’20

2

4

A’9

3

2

A’21

3

4

A’10

4

2

A’22

4

4

A’11

5

2

A’23

5

4

A’12

6

2

A’24

6

4

  1. GDPpc: Gross Domestic Product per capita; HDpc: Heat Demand per capita; A’: agent with 2 spatial characteristics. Refer to the previous tables for the class values. e.g., Agent’ 1 (A’1) belongs to zones, anywhere in the world, with a gridded GDPpc up to 500 US$/y (GDPpc = 1), and a gridded HDpc up to 3.2 MWh/y*cap (HDpc = 2).