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SPEI-based hierarchical clustering for climate zonation

Subcategory: spatial clustering
Papers: 1 | Mentions: 1

Local Knowledge Graph (13 entities)

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Description

Novel application of hierarchical k-means clustering to cumulative distribution curves of Standard Precipitation-Evapotranspiration Index to identify climate zones. Uses temporal segmentation to detect changing zonation patterns over time.

Typical Equipment

  • R library factoextra
  • hkmeans function
  • fviz_nbclust function
  • Hartigan and Wong algorithm

Output Measurements

  • cluster assignments
  • climate zones
  • temporal zonation changes