Spatial regionalization based on optimal information compression
Aggregating fine-grained data allows for the reduction of the impact of noise and outliers when analysing real-world systems. Here the author proposes a principled and efficient method based on information theory to compress spatial systems into macroscopic regions, capturing spatial clusters able t...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-10-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-022-01029-4 |