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tsne world

✓ Published0🌍 Public
MMNoichl
Last edited May 4, 2018
Created on May 4, 2018

The visualization maps the 800 largest cities worldwide by computing pairwise geodesic distances and reducing them to two dimensions with t-SNE, producing a derived "world" where proximity reflects spatial similarity rather than actual geography. Each city appears as a colored dot, with size scaled by population and color assigned by country using `d3.scaleOrdinal`. The t-SNE algorithm runs iteratively within a `d3.forceSimulation`, stepping the model and interpolating positions toward the latest solution. Custom canvas rendering draws the animated nodes, while data loads from a local CSV via `d3.csv`.

AI-generated description

The 800 largest cities in the world. Compute all geodesic distances between them, feed that to t-sne et voilà.

Original work by Philippe Rivière for Visionscarto.net. Comments and variants very welcome!

(Research block at <a href='http://bl.ocks.org/Fil/972e78a78e3f3ceb81051cc649460bbf'>tsne world</a>.)

forked from <a href='http://bl.ocks.org/Fil/'>Fil</a>'s block: <a href='http://bl.ocks.org/Fil/b07d09162377827f1b3e266c43de6d2a'>tsne world</a>

mit Licensed

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