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-1.0.3.tar.gz (83.2 kB view details)

Uploaded Source

Built Distribution

SuPerSim-1.0.3-py3-none-any.whl (78.0 kB view details)

Uploaded Python 3

File details

Details for the file supersim-1.0.3.tar.gz.

File metadata

  • Download URL: supersim-1.0.3.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-1.0.3.tar.gz
Algorithm Hash digest
SHA256 ff034447b314db5e7e4190cf832fd4ddafbd790fc12c3f9b9096e2184485204a
MD5 0bea4eaafa5c3e56ccfa86dcbf3a3981
BLAKE2b-256 e81c740c3043e1020f419358b61d12fa68126744e69128e8abf2787db0e465e0

See more details on using hashes here.

File details

Details for the file SuPerSim-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: SuPerSim-1.0.3-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-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 8530150f3aa2c60da56e6568897859e8f1f0ee43d47f223cf21defce4b843f3a
MD5 b91a8abd10440742f3fac87b530d085b
BLAKE2b-256 5c90be86653491becd4205f28c77a3ddb42beb3cf0ab49290cac32aabd7cb130

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