Data

Tools

Indexes

Applications

Experiments

Open Source Science

workshop_kgl

https://github.com/kiara-lasch/workshop_kgl

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: kiara-lasch
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 12.7 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 8 months ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

DOI

Physical Solution Space (PSS) Model

The Physical Solution Space (PSS) model calculates which adaptation measures are physically feasible for implementation in deltas, based on the unique physical characteristics of the deltas. This code runs for a global dataset of 769 deltas, but a sample dataset containing 30 deltas is provided here.

Dependencies

  • Python v3.12.4

Packages

  • pandas
  • pathlib

Running the code

  1. Clone this git repository to your computer

    Open the command prompt, and navigate to your desired folder (the directory where you want the repository to be places). Run the following command to clone the repository shell cd my\desired\directory shell git clone git@github.com:kiara-lasch/Workshop_KGL.git

  2. Create and activate the environment

    Create, activate and re-name the environment associated with this script shell conda env create -f environment.yml -n workshop_env shell conda activate workshop_env

  3. Prepare to run the script

    In the command prompt, navigate to the "src" folder (the folder where the source script is located)

    shell cd src

  4. Run the script

    In the command prompt, run the following line of code to execute the script

    shell python delta_analysis.py

  5. Check the output datasets

    Go to the "data/processed" folder to find the generated csv datasets (per climate scenario) from the model.

    Within these csv files, the 1 represented physical feaisbility of the adaptation measure, whereas a 0 indicates unfeasible.

Owner

  • Name: Kiara Lasch
  • Login: kiara-lasch
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "My Research Software"
authors:
  - family-names: Druskat
    given-names: Stephan
version: 2.0.4
date-released: 2021-08-11
license: Apache-2.0
repository-code: "https://github.com/citation-file-format/my-research-software"

GitHub Events

Total
  • Release event: 1
  • Push event: 19
  • Create event: 2
Last Year
  • Release event: 1
  • Push event: 19
  • Create event: 2

Dependencies

requirements.txt pypi