Introduction | Installation | Workflow | Data preparation | For thermal dissipation sap flow time series | For time series unrelated to thermal dissipation sap flow | Automatic execution of all processes | Step-by-step executions of each process | Data Input | Anomaly correction | Absolute limit test | Short-term drift correction (optional) | High-frequency noise removal (optional) | Outlier removal | Z-score outlier removal | Random forest outlier removal | Gap-filling | Time series retrieval | Zero-flow conditions determination | Sap flux density calculation | References
Package: fluxfixer 1.1.0.9000
Yoshiaki Hata
fluxfixer: Advanced Framework for Sap Flow Data Post-Process
Provides a flexible framework for post-processing thermal dissipation sap flow data using statistical methods and machine learning. This framework includes anomaly correction, outlier removal, gap-filling, trend removal, signal damping correction, and sap flux density calculation. The functions in this package can also apply to other time series with various artifacts.
Authors:
fluxfixer_1.1.0.9000.tar.gz
fluxfixer_1.1.0.9000.zip(r-4.7)fluxfixer_1.1.0.9000.zip(r-4.6)fluxfixer_1.1.0.9000.zip(r-4.5)
fluxfixer_1.1.0.9000.tgz(r-4.6-any)fluxfixer_1.1.0.9000.tgz(r-4.5-any)
fluxfixer_1.1.0.9000.tar.gz(r-4.7-any)fluxfixer_1.1.0.9000.tar.gz(r-4.6-any)
fluxfixer_1.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fluxfixer/json (API)
| # Install 'fluxfixer' in R: |
| install.packages('fluxfixer', repos = c('https://yhata86.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yhata86/fluxfixer/issues
Pkgdown/docs site:https://yhata86.github.io
Datasets:
Last updated from:9d61752cd2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 623 | ||
| source / vignettes | OK | 199 | ||
| linux-release-x86_64 | OK | 225 | ||
| macos-release-arm64 | OK | 258 | ||
| macos-oldrel-arm64 | OK | 188 | ||
| windows-devel | OK | 180 | ||
| windows-release | OK | 175 | ||
| windows-oldrel | OK | 173 | ||
| wasm-release | OK | 116 |
Exports:%>%calc_dtmaxcalc_fdcalc_ref_statscalc_sw_in_toacheck_absolute_limitsfill_gapsfilter_highfreq_noiseinterpret_qcmodify_short_driftremove_manuallyremove_rf_outlierremove_zscore_outlierretrieve_tsrun_fluxfixer
Dependencies:clicpp11dplyrgenericsgluegsignallatticelifecyclelubridatemagrittrMatrixpillarpkgconfigpracmapurrrR6rangerRcppRcppEigenrlangstringistringrtibbletidyrtidyselecttimechangeutf8vctrswithrxtszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate dTmax by various methods | calc_dtmax |
| Calculate sap flux density time series | calc_fd |
| Define reference values of average and standard deviation | calc_ref_stats |
| Calculate global solar radiation time series at TOA | calc_sw_in_toa |
| Remove outliers by absolute limits | check_absolute_limits |
| Quality-controlled and gap-filled dT time series | dt_gf |
| Raw dT time series with various artifacts | dt_noisy |
| dTmax time series estimated by multiple methods | dtmax |
| Fill missing values with a random forest model | fill_gaps |
| Filter high frequency noise by Gaussian filter | filter_highfreq_noise |
| Convert the decimal QC flag into a human-interpretable 10-digit binary | interpret_qc |
| Modify short-term drifts | modify_short_drift |
| Remove error values manually | remove_manually |
| Remove outliers detected by a random forest model | remove_rf_outlier |
| Remove outliers by Z-score time series | remove_zscore_outlier |
| Retrieve time series in its original units | retrieve_ts |
| Run all quality control processes automatically | run_fluxfixer |