Skip to main content

Summary statistics and plots for ensemble Permafrost Simulations

Project description

SuPerSim

SuPerSim (Summary for Permafrost Simulations) is a package that allows for quick and easy visualization of permafrost metrics and time series from ensemble simulations. The user can extract information from ensemble simulations, create statistics, and plot a variety of spatially and temporally summarized data.

This tool is particularly useful to perform a spatial and temporal analysis of ground, surface, snow, and air metrics on a slope underlain by permafrost where a fast or slow landslide happened. It allows the user to plot time series relative to the time of the event and to visually inspect their behaviour weeks, months, or years before. SuPerSim also creates heatmaps of the ground surface temperature with respect to topographic parameters (slope, aspect, and altitude) to understand the relative importance in the rockfall starting zone.

There is a number of plots than can be produced for a single site. However, SuPerSim is also able to compare two different sites (or two different faces of a same mountain for instance, see the example with a comparison of north- and south-facing rock slopes).

Installation

Use the package manager pip to install SuPerSim (find the PyPi page here: https://pypi.org/project/SuPerSim/).

pip install SuPerSim

Install all the required packages (dependencies) from the requirements.txt file.

pip install -r requirements.txt

Place requirements.txt in the directory where you plan to run the command. If the file is in a different directory, specify its path, for example, path/to/requirements.txt.

Usage

The package is better used in a Python script and is imported with

import SuPerSim

Examples

The user can find some inspiration on how to use SuPerSim by looking at the examples provided.

License

GNU GPLv3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

supersim-1.0.4.tar.gz (83.2 kB view details)

Uploaded Source

Built Distribution

SuPerSim-1.0.4-py3-none-any.whl (78.0 kB view details)

Uploaded Python 3

File details

Details for the file supersim-1.0.4.tar.gz.

File metadata

  • Download URL: supersim-1.0.4.tar.gz
  • Upload date:
  • Size: 83.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.0

File hashes

Hashes for supersim-1.0.4.tar.gz
Algorithm Hash digest
SHA256 c42f3a81bb86209a7e2ebaad566e28ed332292d8cb7005638b22e712e928bce5
MD5 12e0e4ec0548169697056dcbd060e669
BLAKE2b-256 431218986fe626bd75387289829e85c1dcb7758f05321fd93e879479866d58ea

See more details on using hashes here.

File details

Details for the file SuPerSim-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: SuPerSim-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 78.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.0

File hashes

Hashes for SuPerSim-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 81b26d5b730603f0d9e890428e48a676253ac4cfd904b46fd2489ddb3620b0f2
MD5 e4e08a834906895743f6e864f8fe8057
BLAKE2b-256 f082314fd4a11785c82cbc53c00b8a927c744c5b67bfa1d9e3b83c16ac65b3ce

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page