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-1.0.2.tar.gz (83.1 kB view details)

Uploaded Source

Built Distribution

SuPerSim-1.0.2-py3-none-any.whl (77.9 kB view details)

Uploaded Python 3

File details

Details for the file supersim-1.0.2.tar.gz.

File metadata

  • Download URL: supersim-1.0.2.tar.gz
  • Upload date:
  • Size: 83.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.0

File hashes

Hashes for supersim-1.0.2.tar.gz
Algorithm Hash digest
SHA256 e69424911a4901dff42b9d0e069108a79039df526e26a01c2709ea02ad8b2ed1
MD5 0ac57f3cc9ff5a4d9a79fc8e76bf4e01
BLAKE2b-256 7761e07bba41df782bceadb94a6bcef00e2d6eba28b6dd890dad29239d0b46a8

See more details on using hashes here.

File details

Details for the file SuPerSim-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: SuPerSim-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 77.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.0

File hashes

Hashes for SuPerSim-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a84a4a583c314d7eac762b51abadc53ef830145df496bc479fe63542177e8af8
MD5 21daa6840bcb2a3b02df73e2efcdd8ef
BLAKE2b-256 ebb9e4b000268eadd9412dbdeef155cfeeeea229d445fb62581bed8556a77a64

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