# 1 World Greenhouse Gas Emissions

Note: Linked data is from a different year than the data used by https://doi.org/10.1109/PacificVis.2018.00025, for which data could not be found. Origin Notes: Data collected by the https://www.wri.org/. graph features handled: Categorical nodes, N-layers, Weighted edges, Weighted nodes Graph features in papers: clusters (pre-existing),layered graphs,n-layers Origin Paper: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy (https://www.notion.so/Navigating-the-Numbers-Greenhouse-Gas-Data-and-International-Climate-Policy-83d48a003c25483ea04e4c49c64553f0?pvs=21) Originally found at: https://www.wri.org/data/world-greenhouse-gas-emissions-2005 https://www.wri.org/search?keys=world%20greenhouse%20gas%20emissions&f%5B0%5D=content_type%3Adata https://github.com/lhc70000/sankey/tree/master Size: 40 nodes, 85 edges Number of Graphs: 1 Appeared in years: 2018 Type of Collection: Single Graph is it stored properly?: No must be analyzed: No In repo?: Yes Related to Literature - Algorithm (1) (Dataset tag relations): Optimal Sankey Diagrams via Integer Programming (https://www.notion.so/Optimal-Sankey-Diagrams-via-Integer-Programming-87de96d0019e4e27ba0e57c27a0d5b15?pvs=21) cleaned format?: Yes duplicate?: No link works?: No Added in paper: No OSF link json: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d90eb2803e0c0b03558c69 Origin paper plaintext: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy Page id: 859aab42a55e43ac9dad1eae1a91a534 unavailable/skip: No Cleaned ALL data: No OSF link gexf: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d9493c803e0c0c0c558ba6 OSF link gml: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d94d8b803e0c0c1f558cb4 OSF link graphml: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d971484cf748115a055875 first look: No sparkline data: {‘min’: 2, ‘max’: 20, ‘step_size’: 1, ‘num_bins’: 21, ‘bins’: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], ‘node_degree’: [0, 0, 12, 12, 4, 6, 2, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1]} Related to Literature - Algorithm (Dataset tag relations) 1: Optimal Sankey Diagrams via Integer Programming (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Optimal%20Sankey%20Diagrams%20via%20Integer%20Programming%20fcb5d816998f40d6b57c4d8dd5a8b52f.md)

# 2 Body

### Statistics

degree_distr.svg

### Descriptions from Literature

> We have tested our method on the “World Greenhouse Gas Emissions” data from the World Resources Institute [8]. After transforming the “long” edges of the graph into “short” edges and adding the corresponding dummy nodes, as described in Section 3, this example has 4 layers, 55 nodes and 100 edges. The node ordering in the layout of the Sankey diagram shown in Figure 1 has been computed using Sugiyama’s heuristic method [13].

### Example Figures

From Optimal Sankey Diagrams via Integer Linear Programming:

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