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Glacier Project

The Glacier Project is a web application that visualizes data, satellite images, and predictions of our planet's glaciers.
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Table of Contents

About The Project
- Built With
Getting Started
- Prerequisites
- Installation
Usage
Roadmap
Contributing
License
Contact
Acknowledgments

About

Current Features include:

Filtering by country and displaying the location of a glacier on a map
Displaying mass change data based on recordings by the WGMS
Downloading CSV files of data
Displaying raster plots of the elevation in a small area around a glacier
Viewing precipitation within an area at a given longitude and latitude

Built With

(back to top)

Getting Started

To get a local copy up and running, follow these simple example steps.

Prerequisites

GitHub Desktop: used to assess repository for cloning, branching, etc.
- Download at https://desktop.github.com/
- Login and set repository to https://github.com/dinobenj/GlacierProject
- Clone repository through GitHub Desktop or Git Bash:
```
$ git clone https://github.com/dinobenj/GlacierProject
```
R: the language starter files will be in!
- Download at:
- https://archive.linux.duke.edu/cran/bin/windows/base/ OR
- Any other link under USA at https://cran.r-project.org/mirrors.html
RStudio: used for compiling and running code
- Download at https://www.rstudio.com/products/rstudio/download/#download
7-Zip: used to unzip the starter files you'll be provided
- Download at https://www.7-zip.org/download.html
- Files can be found in the Discord:
Node
- Check if Node is installed & version in command prompt
```
node -v
```
- Follow instructions on this website to update: https://phoenixnap.com/kb/update-node-js-version OR
- Install Node at https://nodejs.org/en/download/ if Node is not installed

Installation

Ask project lead to add a new contributor to the repository
Install and unzip .7z starter files
- Store anywhere that is easy and convenient to access (i.e. desktop)
Open RStudio and access unzipped files
Set working directory to the folder storing all program files
- Session --> Set Working Directory --> Choose Directory --> Set as Working Directory
Change paths in test_with_all_glaciers to path FROM your working directory
Run test_with_all_glaciers first to get data together
Run (Ctrl + A, Ctrl + Enter)
- Install additional libraries as needed upon request by RStudio
Update line 32 to gmap_data <- sub_data[, c(1, 7, 8, 3)] if not already done
Run app.R
- Do NOT change paths in this file.

Known Issues

RStudio Library Package Problems:

Multiple times, while downloading a R library, I ran into an error where RStudio would be unable to find the right place to download it to. In order to remedy this, first make sure you're in the correct directory by opening and right clicking on app.R. Select "set working directory". If this doesn't work, follow the path C:\Users\User\Documents\R\win-library and deleted the 4.0/00LOCK (or whatever version you see) file.

See the open issues for a full list of known issues.

Roadmap Fall 2022

By the end of September:

Agree on a frontend design
Agree on and transfer all data to server
Create a better onboarding guide

By the end of October:

Create scripts that predict glacier mass based on scientific models
Display satellite data from OpenGeo API
Improve API
Bug fixes

By the end of November:

Continue to refine October goals and begin implementation of December goals

By the end of December

Implement and display glacier mass predictions on app
UI update
Display satellite images with highlights on app for each glacier
Deploy* (BIIIIIIG astrix)

Roadmap Spring 2023

By the end of January:

By the end of February:

By the end of March:

By April 11th:

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

Fork the Project
Create your Feature Branch (git checkout -b feature/AmazingFeature)
Commit your Changes (git commit -m 'Add some AmazingFeature')
Push to the Branch (git push origin feature/AmazingFeature)
Open a Pull Request

License

Distributed under the MIT License. See LICENSE.txt for more information.

Contact

Ben Dennison - @Cool_Kid420 - [email protected]

Project Link: https://github.com/dinobenj/GlacierProject