#changepoint — Public Fediverse posts on home.social

💧🌏 Greg Cocks @[email protected] · 2026-08-11 · 03:35 UTC

Classification And Conceptualization Of Karst Recharge Processes Through Spectral And Change Point Analysis Of Drip Water Dynamics
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https://doi.org/10.1029/2025WR042816 <-- shared paper
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H/T @ Danyang Sun | UNSW-PhD student
“… [The authors] analysed one year of drip water monitoring data from 46 monitoring sites across six karst regions in southeastern Australia. By integrating fast Fourier analysis, cross-wavelet transform and change point analysis, [they] identified five characteristic recharge behaviours and developed a conceptual framework linking temporal drip dynamics with recharge mechanisms. [They] hope this framework will contribute to a better understanding of recharge heterogeneity in karst systems and support future groundwater research under a changing climate…”
#karst #Australia #water #hydrology #underground #subsurface #recharge #dynamics #spectral #changepoint #cave #dripwater #analysis #spatiotemporal #groundwater #research #climatechange #extremeweather #flow #storage #vadose #epikarst #watertable #aquifer #percolation #rainfall #precipitation #climate #lithology #geology #spatialanalysis

#karst #australia #water #hydrology #underground #subsurface

💧🌏 Greg Cocks @GregCocks · 2026-08-11 · 03:35 UTC

Classification And Conceptualization Of Karst Recharge Processes Through Spectral And Change Point Analysis Of Drip Water Dynamics
--
https://doi.org/10.1029/2025WR042816 <-- shared paper
--
H/T @ Danyang Sun | UNSW-PhD student
“… [The authors] analysed one year of drip water monitoring data from 46 monitoring sites across six karst regions in southeastern Australia. By integrating fast Fourier analysis, cross-wavelet transform and change point analysis, [they] identified five characteristic recharge behaviours and developed a conceptual framework linking temporal drip dynamics with recharge mechanisms. [They] hope this framework will contribute to a better understanding of recharge heterogeneity in karst systems and support future groundwater research under a changing climate…”
#karst #Australia #water #hydrology #underground #subsurface #recharge #dynamics #spectral #changepoint #cave #dripwater #analysis #spatiotemporal #groundwater #research #climatechange #extremeweather #flow #storage #vadose #epikarst #watertable #aquifer #percolation #rainfall #precipitation #climate #lithology #geology #spatialanalysis

#karst #australia #water #hydrology #underground #subsurface

Computo @[email protected] · 2024-09-18 · 13:40 UTC

Second, "Geometric-based pruning rules for change point detection in multiple independent time series" by Liudmila Pishchagina, Guillem Rigaill, and Vincent Runge is available at doi.org/10.57750/9vvx-eq57 and complemented with R/C++ code at https://github.com/lpishchagina/GeomFPOP

The paper focuses on finding an unknown number of change points in multiple independent time-series, assuming the change points occur simultaneously in all series. The authors focus on dynamic programming algorithms and propose GeomFPOP (Geometric Functional Pruning Optimal Partitioning). GeomFPOP uses geometric pruning rules, where the state-of-the-art PELT method uses inequality-based pruning rules. Among other things, the authors show that GeomFPOP can be significantly faster when the number of change points is small with respect to the size of the time series.

#reproducibility #openScience #openAccess #openSource #rStats #changePoint

#changepoint #rstats #opensource #openaccess #openscience #reproducibility

Computo @[email protected] · 2024-09-18 · 13:40 UTC

Second, "Geometric-based pruning rules for change point detection in multiple independent time series" by Liudmila Pishchagina, Guillem Rigaill, and Vincent Runge is available at doi.org/10.57750/9vvx-eq57 and complemented with R/C++ code at https://github.com/lpishchagina/GeomFPOP

The paper focuses on finding an unknown number of change points in multiple independent time-series, assuming the change points occur simultaneously in all series. The authors focus on dynamic programming algorithms and propose GeomFPOP (Geometric Functional Pruning Optimal Partitioning). GeomFPOP uses geometric pruning rules, where the state-of-the-art PELT method uses inequality-based pruning rules. Among other things, the authors show that GeomFPOP can be significantly faster when the number of change points is small with respect to the size of the time series.

#reproducibility #openScience #openAccess #openSource #rStats #changePoint