Package: realTimeloads 1.0.1

realTimeloads: Analyte Flux and Load from Estimates of Concentration and Discharge

Flux (mass per unit time) and Load (mass) are computed from timeseries estimates of analyte concentration and discharge. Concentration timeseries are computed from regression between surrogate and user-provided analyte. Uncertainty in calculations is estimated using bootstrap resampling. Code for the processing of acoustic backscatter from horizontally profiling acoustic Doppler current profilers is provided. All methods detailed in Livsey et al (2020) <doi:10.1007/s12237-020-00734-z>, Livsey et al (2023) <doi:10.1029/2022WR033982>, and references therein.

Authors:Daniel Livsey [aut, cre, cph]

realTimeloads_1.0.1.tar.gz
realTimeloads_1.0.1.zip(r-4.7-any)realTimeloads_1.0.1.zip(r-4.6-any)realTimeloads_1.0.1.zip(r-4.5-any)
realTimeloads_1.0.1.tgz(r-4.6-any)realTimeloads_1.0.1.tgz(r-4.5-any)
realTimeloads_1.0.1.tar.gz(r-4.7-any)realTimeloads_1.0.1.tar.gz(r-4.6-any)
realTimeloads_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
realTimeloads/json (API)

# Install 'realTimeloads' in R:

install.packages('realTimeloads', repos = c('https://dlivsey.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dlivsey/realtimeloads/issues

Datasets:

ExampleData - Example data used to demonstrate computation of real-time sediment loads from horizontal acoustic Doppler current profiler

On CRAN:

3.70 score 1 stars 8 scripts 284 downloads 17 exports 94 dependencies

Last updated from:8af336aee4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	191
source / vignettes	OK	241
linux-release	OK	182
macos-release	OK	185
macos-oldrel	OK	205
windows-devel	OK	107
windows-release	OK	133
windows-oldrel	OK	135
wasm-release	OK	125

Exports:acoustic_backscatter_processing attenuation_of_sound_by_water bootstrap_regression butterworth_tidal_filter compute_load ctd2sal estimate_timeseries ExampleCode ExampleCodeSCI hADCPLoads import_data impute_data impute_data_with_arima linear_interpolation_with_time_limit near_field_correction speed_of_sound surrogate_to_analyte_interpolation

Dependencies:backports bit bit64 boot broom cli clipr codetools colorspace commonmark cpp11 crayon curl data.table dplyr farver forcats foreach forecast fracdiff generics ggplot2 ggtext glmnet glue gridtext gtable haven hms imputeTS isoband iterators jomo jpeg labeling lattice lifecycle litedown lme4 lmtest magrittr markdown MASS Matrix mice minqa mitml nlme nloptr nnet numDeriv ordinal pan pillar pkgconfig png prettyunits progress purrr R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr reformulas rlang rpart S7 scales shape signal stinepack stringi stringr survival tibble TideHarmonics tidyr tidyselect timeDate tzdb ucminf urca utf8 vctrs viridisLite vroom withr xfun xml2 zoo

realTimeloads

References

Rendered fromrealTimeloads.Rmdusingknitr::rmarkdown

Last update: 2023-11-10
Started: 2023-10-12

Help page	Topics
Process acoustic backscatter from hADCP	acoustic_backscatter_processing
Compute attenuation of sound in water given frequency, temperature, and salinity	attenuation_of_sound_by_water
Regression parameters estimated using bootstrap resampling	bootstrap_regression
Return non-tidal signal in data after Rulh and Simpson (2005)	butterworth_tidal_filter
Compute load with uncertainty on concentration estimates	compute_load
Compute salinity (PSU) from conductivity, water temperature, and depth	ctd2sal
Compute timeseries with uncertainty from bootstrap regression	estimate_timeseries
Computes sediment load per guideline from ExampleData	ExampleCode
Computes sediment load from optical and acoustic backscatter measurements	ExampleCodeSCI
Example data used to demonstrate computation of real-time sediment loads from horizontal acoustic Doppler current profiler (hADCP)	ExampleData
Compute sediment load per guideline using acoustic backscatter from processed hADCP data	hADCPLoads
Load data from comma-delimited .txt files to list to be used in function hADCPLoads()	import_data
Returns x with gaps imputed using ARIMA and Decision Trees, optional uncertainty estimation using Monte Carlo resampling	impute_data
Returns x with gaps imputed using forecast::auto.arima with optional uncertainty estimation using Monte Carlo resampling	impute_data_with_arima
Linearly interpolate timeseries time(x) onto new timesetep ti	linear_interpolation_with_time_limit
Near-field correction of Downing et al (1995)	near_field_correction
Compute speed of sound in water given salinity, temperature, and depth	speed_of_sound
Interpolate timeseries x(tx) onto y(ty)	surrogate_to_analyte_interpolation

Package: realTimeloads 1.0.1

realTimeloads: Analyte Flux and Load from Estimates of Concentration and Discharge

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