https://github.com/arpitnarechania/resiliency-app

Resiliency is an ensemble binning method that considers how frequently a geographic entity (e.g., county) falls in a particular bin across multiple comparable data binning methods. This application helps users visualize and interact with the outputs of Resiliency on a variety of datasets.
https://github.com/arpitnarechania/resiliency-app

cartography choropleth choropleth-map data-binning data-classification geographical-information-system gis visualization

Last synced: 3 days ago
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Resiliency is an ensemble binning method that considers how frequently a geographic entity (e.g., county) falls in a particular bin across multiple comparable data binning methods. This application helps users visualize and interact with the outputs of Resiliency on a variety of datasets.

• Host: GitHub
• URL: https://github.com/arpitnarechania/resiliency-app
• Owner: arpitnarechania
• License: mit
• Created: 2023-09-10T07:01:04.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-13T23:52:06.000Z (about 1 year ago)
• Last Synced: 2024-10-12T11:44:02.234Z (about 1 month ago)
• Topics: cartography, choropleth, choropleth-map, data-binning, data-classification, geographical-information-system, gis, visualization
• Language: TypeScript
• Homepage: https://ocular.cc.gatech.edu/resiliency-app/
• Size: 1.83 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Resiliency App

Resiliency is an ensemble technique that considers how frequently a geographic entity (e.g., county) falls in a particular bin across multiple comparable data binning methods.

![Screenshot of the Resiliency App showing the output of the Resiliency binning method on Life Expectancy (years) data for U.S. counties.](screenshot.png)

## Setup

0. Open the command line/terminal on your machine and navigate to this project's top-level directory (i.e. where this file is).

1. Download and install node, npm from https://nodejs.org/en/download/. We developed and tested the app on {Node, NPM}: {v14.15.5, 6.14.11}. Optionally, use the nvm (Node Version Manager) to quickly install and use different versions of node via the command line.

2. `npm install -g @angular/[email protected]` to install the desired angular-cli used to run ng-* commands.

3. `npm install` - installs required libraries from package.json. 

## Run

4. `ng serve` - compile and serve the application locally

5. Open the browser at http://localhost:4200

6. Enjoy!

## Build and Deployment

7. `ng build --configuration production --build-optimizer --output-hashing=all` - build the app and push the output into [angular.json](angular.json) > `outputPath` directory (default value = ["dist/"](dist/)).

8. `ng build --configuration production --build-optimizer --baseHref=/resiliency-app/ --output-hashing=all` - build the app for deploying at a public URL with /resiliency-app/ base prefix.

## Credits

Resiliency was created by

Arpit Narechania, Alex Endert, and Clio Andris of the Georgia Tech Visualization Lab. We thank the members of the Georgia Tech Visualization Lab for their support and constructive feedback.

## Citations

```bibTeX

@InProceedings{narechania2023resiliency,

  author =	{Narechania, Arpit and Endert, Alex and Andris, Clio},

  title =	{{Resiliency: A Consensus Data Binning Method}},

  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},

  pages =	{55:1--55:7},

  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},

  year =	{2023},

  volume =	{277},

  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},

  doi =		{10.4230/LIPIcs.GIScience.2023.55}

}

```

## License

The software is available under the [MIT License](https://github.com/arpitnarechania/resiliency-app/blob/master/LICENSE).

## Contact

If you have any questions, feel free to [open an issue](https://github.com/arpitnarechania/resiliency-app/issues/new/choose) or contact [Arpit Narechania](http://narechania.com).