Table 19 Global disaggregation for agents defined with three 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

HD

GDPpc

HDpc

HD

A1

1

2

1

A11

4

4

1

A2

1

3

2

A12

4

3

2

A3

2

3

1

A13

4

4

3

A4

2

3

2

A14

4

2

4

A5

2

3

3

A15

5

2

1

A6

2

3

4

A16

5

3

2

A7

3

4

1

A17

5

3

3

A8

3

4

2

A18

5

2

4

A9

3

4

3

A19

6

3

1

A10

3

4

4

A20

6

3

2

  1. GDPpc: Gross Domestic Product per capita; HD: Heat Density; HDpc: Heat Demand per capita; A: agent. Refer to the previous tables for the class values. e.g., Agent 1 (A1) belongs to zones, anywhere in the world, with a gridded GDPpc up to 500 US$/y (GDPpc = 1), a gridded HD up to 1790 MWh/km2 (HD = 1), and a gridded HDpc up to 3.2 MWh/y*cap (HDpc = 2).
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