puff

Production code for visualizing the Gaussian puff atmospheric model in R

https://github.com/hammerling-research-group/puff

Science Score: 26.0%

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Scientific vocabulary similarity
Low similarity (17.1%) to scientific vocabulary

Keywords

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

Last synced: 9 months ago · JSON representation

Repository

Production code for visualizing the Gaussian puff atmospheric model in R

Basic Info

Host: GitHub
Owner: Hammerling-Research-Group
License: other
Language: R
Default Branch: main
Homepage: https://CRAN.R-project.org/package=puff
Size: 1.6 MB

Statistics

Stars: 1
Watchers: 2
Forks: 1
Open Issues: 0
Releases: 1

Topics

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

Created over 1 year ago · Last pushed about 1 year ago

Metadata Files

Readme License

Visualizing the Gaussian Puff Atmospheric Model

The puff package is primarily a visualization-focused package aimed at offering many ways to visualize emission dispersion plumes given some site-level information (e.g., wind conditions, emission rate, etc.).

Though focused on visualization, puff also provides functions for simulating and running the Gaussian puff model in either sensor or grid mode. Sensor mode corresponds to running the model based on specific sensor locations, where as grid mode corresponds to running the model across a full site. See the paper or the Python version for more model-specific details.

Installation and Usage

Stable (on CRAN):

```{r} install.packages("puff")

library(puff) ```

Dev:

{r} devtools::install_github("Hammerling-Research-Group/puff")

Once the user obtains output from the forward model (either via the puff package (simulate_sensor_mode() or simulate_grid_mode()) or via some other approach), they can use their site details and concentration output to build numerous visualizations, including several static plots, 2D and 3D animated plots, and a site map generator based on sensor and source coordinates.

Please start with the package vignette for more details on getting started.

Contribute

This software is being actively developed, with more features and updates forthcoming. Wide engagement with it and collaboration is welcomed!

Please note that before contributing, first read and abide by our group's Code of Conduct. Then, review and abide by our group's workflow and Standards of Development.

When you're ready, here are the best ways to contribute:

Submit an issue reporting a bug, requesting a feature enhancement, etc.
Suggest changes directly via a pull request
Reach out directly here or here with ideas if you're uneasy with public interaction

Owner

Name: Hammerling Research Group
Login: Hammerling-Research-Group
Kind: organization
Email: hammerling@mines.edu
Location: Golden, CO

Website: ams.mines.edu/hammerling-research-group
Repositories: 1
Profile: https://github.com/Hammerling-Research-Group

An Applied Mathematics and Statistics Research Lab at the Colorado School of Mines

GitHub Events

Total

Create event: 13
Release event: 1
Issues event: 3
Watch event: 1
Delete event: 4
Issue comment event: 1
Public event: 1
Push event: 103
Pull request review comment event: 3
Pull request event: 17
Pull request review event: 10
Fork event: 1

Last Year

Create event: 13
Release event: 1
Issues event: 3
Watch event: 1
Delete event: 4
Issue comment event: 1
Public event: 1
Push event: 103
Pull request review comment event: 3
Pull request event: 17
Pull request review event: 10
Fork event: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time

Total issues: 10
Total pull requests: 36
Average time to close issues: 25 days
Average time to close pull requests: about 18 hours
Total issue authors: 1
Total pull request authors: 2
Average comments per issue: 0.2
Average comments per pull request: 0.11
Merged pull requests: 32
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 10
Pull requests: 36
Average time to close issues: 25 days
Average time to close pull requests: about 18 hours
Issue authors: 1
Pull request authors: 2
Average comments per issue: 0.2
Average comments per pull request: 0.11
Merged pull requests: 32
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

pdwaggoner (10)

Pull Request Authors

teaganward (22)
pdwaggoner (13)

Top Labels

Issue Labels

enhancement (1) documentation (1)

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- cran 164 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 1
Total maintainers: 1

cran.r-project.org: puff

Simulate and Visualize the Gaussian Puff Forward Atmospheric Model

Homepage: https://github.com/Hammerling-Research-Group/puff
Documentation: http://cran.r-project.org/web/packages/puff/puff.pdf
License: MIT + file LICENSE
Latest release: 0.1.0
published about 1 year ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 164 Last month

Rankings

Dependent packages count: 26.8%

Dependent repos count: 33.0%

Average: 48.8%

Downloads: 86.7%

Maintainers (1)

philip.waggoner@mines.edu