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This research aims to analyze the spatial organization of climate extremes across Brazil using a novel clustering approach.

Spatial coherence of climate extremes across Brazil’s river basins: a clustering approach

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Randomized trial assesses spatial clustering of climate extremes in Brazil’s river basins, indicating robust regional patterns.

This research aims to analyze the spatial organization of climate extremes across Brazil using a novel clustering approach.
Proposed a spatial clustering framework integrating Moran’s I with Weighted Total Sum of Squares (WTSS).
Applied Principal Component Analysis (PCA) for dimensionality reduction and stable k-means clustering.
Conducted two clustering experiments: one for Brazil’s twelve hydrographic basins and another for the entire country.
Basin-level clustering produced optimal configurations consistent across various basins.
National clustering identified coherent regions aligned with established climatic divisions.
The approach enhanced spatial cluster validation by incorporating autocorrelation, yielding interpretable outcomes.

Almeida et al. (2026) studied this question.

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View Full Paper

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Authors

Randomized trial assesses spatial clustering of climate extremes in Brazil’s river basins, indicating robust regional patterns.

This research aims to analyze the spatial organization of climate extremes across Brazil using a novel clustering approach.
Proposed a spatial clustering framework integrating Moran’s I with Weighted Total Sum of Squares (WTSS).
Applied Principal Component Analysis (PCA) for dimensionality reduction and stable k-means clustering.
Conducted two clustering experiments: one for Brazil’s twelve hydrographic basins and another for the entire country.
Basin-level clustering produced optimal configurations consistent across various basins.
National clustering identified coherent regions aligned with established climatic divisions.
The approach enhanced spatial cluster validation by incorporating autocorrelation, yielding interpretable outcomes.

Almeida et al. (2026) studied this question.

View Full Paper

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