SPEI-based hierarchical clustering for climate zonation

Local Knowledge Graph (13 entities)

Knowledge graph centered on SPEI-based hierarchical clustering for climate zonation with 13 nodes and 23 connections. Top connected: drought severity, Statistical framework to assess long-term spatio-t, Budyko framework, Water balance equation, climate zonation.

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

Papers Using This Protocol (1)