Monte_Carlo_atmospheric_plume | Air plume dispersion model , written in R - Monte Carlo

 by   NumericalEnvironmental R Version: Current License: No License

kandi X-RAY | Monte_Carlo_atmospheric_plume Summary

kandi X-RAY | Monte_Carlo_atmospheric_plume Summary

Monte_Carlo_atmospheric_plume is a R library. Monte_Carlo_atmospheric_plume has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Functionally equivalent R and Python 2.7 scripts to model air plume dispersion (R script has some post-processing features tacked on). wind.txt file contains wind velocity distribution data required by the scripts. Python version requires numpy and pandas libraries. More info can be found here: I'd appreciate hearing back from you if you find the script(s) useful. Questions or comments are welcome at walt.mcnab@gmail.com. THIS CODE/SOFTWARE IS PROVIDED IN SOURCE OR BINARY FORM "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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            kandi-support Support

              Monte_Carlo_atmospheric_plume has a low active ecosystem.
              It has 4 star(s) with 6 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Monte_Carlo_atmospheric_plume has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Monte_Carlo_atmospheric_plume is current.

            kandi-Quality Quality

              Monte_Carlo_atmospheric_plume has 0 bugs and 0 code smells.

            kandi-Security Security

              Monte_Carlo_atmospheric_plume has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Monte_Carlo_atmospheric_plume code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Monte_Carlo_atmospheric_plume does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Monte_Carlo_atmospheric_plume releases are not available. You will need to build from source code and install.
              It has 137 lines of code, 6 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Monte_Carlo_atmospheric_plume Key Features

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            Monte_Carlo_atmospheric_plume Examples and Code Snippets

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            Community Discussions

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            Vulnerabilities

            No vulnerabilities reported

            Install Monte_Carlo_atmospheric_plume

            You can download it from GitHub.

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            https://github.com/NumericalEnvironmental/Monte_Carlo_atmospheric_plume.git

          • CLI

            gh repo clone NumericalEnvironmental/Monte_Carlo_atmospheric_plume

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            git@github.com:NumericalEnvironmental/Monte_Carlo_atmospheric_plume.git

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