Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.0%) to scientific vocabulary
Repository
heat vulnerability index desktop application
Basic Info
- Host: GitHub
- Owner: IGEE-IHVI
- Language: Python
- Default Branch: main
- Size: 294 MB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
iHVI tool - Heat Vulnerability Index open source desktop toolkit
Summary
The iHVI toolkit constructs heat sensitivity, heat adaptive capability indicators, and composite heat vulnerability index, which enables modelling of the relationships between heat, environmental and socio-economic factors. This desktop-based application is a first nationwide, dynamic and interactive heat vulnerability assessment toolkit with enhanced workflow, automated analysis and modelling tools, so the indicators and indices can be updated and constructed by the users to serve more applications.
Conceptual framework
The diagram shows the conceptual heat vulnerability assessment framework. It is a four-stage assessment framework to derive heat vulnerability index by calculating heat exposure index, heat sensitivity index and adaptive capability index for intervention strategies. HVI is calculated as : Heat Vulnerability Index (HVI) = Heat Exposure index + Heat Sensitivity index - Adaptive Capacity Index
iHVI application
The iHVI desktop toolkit was developed in the Python 3 environment. The primary packages consist of PySimpleGUIQt, Pandas, Numpy, and other Python builtin packages. PySimpleGUIQt is an integrated package for frontend user interface development. The Pandas and Numpy are mainly used for the heat vulnerability index and heat vulnerability score calculation functions’ development. The software compilation is based on the auto-pyto-exe converter, which is a Python-based converter that can compile Python files (.py) to executable files (.exe). The executable file will not require manual installation after downloading.
How to Run the iHVI Toolkit
Download the Latest Release: Locate the most recent version of the iHVI Toolkit on the right side of this repository and download the release package.
Extract the Files: After downloading, unzip the package to your preferred location.
Launch the Toolkit: Navigate to the extracted folder and run the executable file by double-clicking on "iHVIToolkit\iHVIToolkit.exe".
Technical documentation
Refer to iHVI User Manual for more detailed explanation on iHVI operation
Owner
- Name: IGEE-IHVI
- Login: IGEE-IHVI
- Kind: organization
- Repositories: 1
- Profile: https://github.com/IGEE-IHVI
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use iHVI toolkit, please cite it as below."