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SPEI-based hierarchical clustering for climate zonation
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Knowledge graph centered on SPEI-based hierarchical clustering for climate zonation with 14 nodes and 26 connections. Top connected: not specified, drought severity, Statistical framework to assess long-term spatio-t, Budyko framework, Water balance equation.
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