Package: puff 0.1.1

Callan Okenberg

puff: Simulate and Visualize the Gaussian Puff Forward Atmospheric Model

Simulate and run the Gaussian puff forward atmospheric model in sensor (specific sensor coordinates) or grid (across the grid of a full oil and gas operations site) modes, following Jia, M., Fish, R., Daniels, W., Sprinkle, B. and Hammerling, D. (2024) <doi:10.26434/chemrxiv-2023-hc95q-v3>. Numerous visualization options, including static and animated, 2D and 3D, and a site map generator based on sensor and source coordinates.

Authors:Teagan Ward [aut], Philip Waggoner [aut], Will Daniels [aut], Meng Jia [aut], Dorit Hammerling [aut, ths], Callan Okenberg [cre]

puff_0.1.1.tar.gz
puff_0.1.1.zip(r-4.7)puff_0.1.1.zip(r-4.6)puff_0.1.1.zip(r-4.5)
puff_0.1.1.tgz(r-4.6-any)puff_0.1.1.tgz(r-4.5-any)
puff_0.1.1.tar.gz(r-4.7-any)puff_0.1.1.tar.gz(r-4.6-any)
puff_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
puff/json (API)

# Install 'puff' in R:

install.packages('puff', repos = c('https://hammerling-research-group.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hammerling-research-group/puff/issues

On CRAN:

atmospheric-model dlq emissions gaussian oil-and-gas sensors

4.18 score 1 stars 3 scripts 160 downloads 15 exports 65 dependencies

Last updated from:5213d58daa. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	221
source / vignettes	OK	224
linux-release-x86_64	OK	145
macos-release-arm64	OK	163
macos-oldrel-arm64	OK	145
windows-devel	OK	114
windows-release	OK	117
windows-oldrel	OK	94
wasm-release	OK	149

Exports:compute_sigma_vals create_site_map faceted_time_series_plot faceted_time_series_plot2 get_stab_class gpuff interpolate_wind_data is_day plot_2d_animated plot_3d_animated simulate_grid_mode simulate_sensor_mode single_emission_rate_plot time_series_plot wind_vector_convert

Dependencies:askpass base64enc bslib cachem cli cpp11 crosstalk curl data.table digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr memoise mime openssl otel patchwork pillar pkgconfig plotly promises purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown S7 sass scales stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

Getting Started with puff

Sensor Mode | Grid Mode | Concluding Remarks

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2025-04-04
Started: 2025-02-03

Help page	Topics
Compute Sigma Values Based on Stability Class and Distance	compute_sigma_vals
Create a Site Map of Sensors and Sources	create_site_map
Faceted Time Series Plot of Methane Concentrations and Wind Data	faceted_time_series_plot
Alternate version with wind rose at each time step + scatter plot of methane concentration time series	faceted_time_series_plot2
Determine Stability Class Based on Wind Speed and Time of Day	get_stab_class
Gaussian Puff Concentration Calculation	gpuff
Resample wind_speeds and wind_directions to the simulation resolution by interpolation	interpolate_wind_data
Determine Whether a Time is During the Day	is_day
Plot a 2D Animated Heatmap for Concentration Over Time	plot_2d_animated
Plot a 3D Animated Plot for Concentration Over Time	plot_3d_animated
Simulate Atmospheric Concentration on a Grid	simulate_grid_mode
Simulate Atmospheric Concentration at Sensor Locations	simulate_sensor_mode
Plot Multiple Emission Rate Sensor Concentrations	single_emission_rate_plot
Plot Time Series of Sensor Concentrations	time_series_plot
Convert between (ws, wd) and (u,v)	wind_vector_convert

Package: puff 0.1.1

puff: Simulate and Visualize the Gaussian Puff Forward Atmospheric Model

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)