strucchange algorithm

Subcategory: time series analysis

Standard reference: Zeileis et al. 2002

Papers: 1 | Mentions: 1

Local Knowledge Graph (13 entities)

Loading graph...

Description

Statistical method using the strucchange package in R to detect structural changes in meteorological time series by evaluating F-statistics and identifying optimal breakpoints using dynamic programming. Applied to identify temporal segments in temperature and precipitation data.

Typical Equipment

R strucchange package
F-statistic evaluation
BIC function
RSS calculation

Output Measurements

temporal breakpoints
confidence intervals
time series segments

Papers Using This Protocol (1)

article

Statistical framework to assess long-term spatio-temporal climate changes: East River mountainous watershed case study

2022Stochastic environmental research and risk assessmentusing