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 a quick and easy visualization of permafrost metrics and timeseries 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 timeseries relative to the time of the event and to visually inspect their behviour 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.

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-0.1.1.tar.gz (77.7 kB view details)

Uploaded Source

Built Distribution

SuPerSim-0.1.1-py3-none-any.whl (72.4 kB view details)

Uploaded Python 3

File details

Details for the file supersim-0.1.1.tar.gz.

File metadata

  • Download URL: supersim-0.1.1.tar.gz
  • Upload date:
  • Size: 77.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.0

File hashes

Hashes for supersim-0.1.1.tar.gz
Algorithm Hash digest
SHA256 cf7c4178424796eb4e3ab6f90a4d12a0e4fbac93a26938c4b025629562ebc64a
MD5 8f5e837bde05ecee95d4a2fab0c97ea3
BLAKE2b-256 7b68f0e4cb555717a214970c8ccd4172c29cb5d81dafbeef179f30059faca528

See more details on using hashes here.

File details

Details for the file SuPerSim-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: SuPerSim-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 72.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.0

File hashes

Hashes for SuPerSim-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 26b440f95dae9e7e6817301a515785eff1194f76cc79c814ddeb0ea8c9adf6e2
MD5 cb6888d913a561784ac69346a4337425
BLAKE2b-256 4f5a4dde8d85d40cfdd07e96d25d44909f8b0e406c91743be34a27e194efbad7

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