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# Climate Data Visualization and Analysis
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[![View on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/110125-climate-data-visualization-and-analysis) or [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Climate-Data-Visualization-and-Analysis&project=ClimateVis.prj)
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![MATLAB Versions Tested](https://img.shields.io/endpoint?url=https%3A%2F%2Fraw.githubusercontent.com%2FMathWorks-Teaching-Resources%2FClimate-Data-Visualization-and-Analysis%2Frelease%2FImages%2FTestedWith.json)
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**Curriculum Module**
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_Created with R2021b. Compatible with R2021b and later releases._
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[![View on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/110125-climate-data-visualization-and-analysis) or [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Climate-Data-Visualization-and-Analysis&project=ClimateVis.prj)
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![MATLAB Versions Tested](https://img.shields.io/endpoint?url=https%3A%2F%2Fraw.githubusercontent.com%2FMathWorks-Teaching-Resources%2FClimate-Data-Visualization-and-Analysis%2Frelease%2FImages%2FTestedWith.json)
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**Curriculum Module**
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_Created with R2021b. Compatible with R2021b and later releases._
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# Information
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This curriculum module contains interactive [MATLAB® live scripts](https://www.mathworks.com/products/matlab/live-editor.html) that teach the basics of how to import, visualize, and analyze climate data using MATLAB.
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### Accessing the Module
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### **On MATLAB Online:**
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Use the [![image_1.png](Images/image_1.png)](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Climate-Data-Visualization-and-Analysis&project=ClimateVis.prj) link to download the module. You will be prompted to log in or create a MathWorks account. The project will be loaded, and you will see an app with several navigation options to get you started.
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Use the [<img src="Images/image_1.png" width="154" alt="image_1.png">](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Climate-Data-Visualization-and-Analysis&project=ClimateVis.prj) link to download the module. You will be prompted to log in or create a MathWorks account. The project will be loaded, and you will see an app with several navigation options to get you started.
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### **On Desktop:**
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*If you are viewing this in a version of MATLAB prior to R2023b, you can view the learning outcomes for each script* [*here*](https://www.mathworks.com/matlabcentral/fileexchange/110125-climate-data-visualization-and-analysis)
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## [**GlobalTemperature.mlx**](Scripts/GlobalTemperature.mlx)
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| ![image_3.png](Images/image_3.png) | **In this script, students will...** <br>- Load time\-series temperature data into MATLAB <br>- Compare regional temperature trends using time\-series plots <br>- Apply array indexing to compute changes to CO2 concentration <br>- Discuss correlation and autocorrelation of climate time\-series data |
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| <img src="Images/image_3.png" width="251" alt="image_3.png"> | **In this script, students will...** <br>- Load time\-series temperature data into MATLAB <br>- Compare regional temperature trends using time\-series plots <br>- Apply array indexing to compute changes to CO2 concentration <br>- Discuss correlation and autocorrelation of climate time\-series data |
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## [**ArcticSeaIce.mlx**](Scripts/ArcticSeaIce.mlx)
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| ![image_4.png](Images/image_4.png) | **In this script, students will...** <br>- Load and display Arctic sea ice extent GeoTIFF data <br>- Quantify Arctic sea ice extent using logical operators <br>- Use a for loop to analyze changes to Arctic sea ice from 1979 to 2021 <br>- Compute the linear trend of Arctic sea ice extent |
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| <img src="Images/image_4.png" width="251" alt="image_4.png"> | **In this script, students will...** <br>- Load and display Arctic sea ice extent GeoTIFF data <br>- Quantify Arctic sea ice extent using logical operators <br>- Use a for loop to analyze changes to Arctic sea ice from 1979 to 2021 <br>- Compute the linear trend of Arctic sea ice extent |
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## [**MultispectralImaging.mlx**](Scripts/MultispectralImaging.mlx)
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| ![image_5.png](Images/image_5.png) | **In this script, students will...** <br>- List the spectral band designations for the Landsat 8 satellite <br>- Load and display single band images <br>- Use metadata to rescale a spectral band <br>- Create an RGB image from spectral bands |
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| <img src="Images/image_5.png" width="251" alt="image_5.png"> | **In this script, students will...** <br>- List the spectral band designations for the Landsat 8 satellite <br>- Load and display single band images <br>- Use metadata to rescale a spectral band <br>- Create an RGB image from spectral bands |
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## [**MultispectralIndices.mlx**](Scripts/MultispectralIndices.mlx)
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| ![image_6.png](Images/image_6.png) | **In this script, students will...** <br>- Compute multispectral indices (NDVI and NDWI) from Landsat 8 data <br>- Analyze the reduction of reservoir area due to drought <br>- Superimpose a multispectral index on an RGB image <br>- Quantify changes to vegetation <br>- Apply image processing techniques, such as creating a binary mask and registering images |
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| <img src="Images/image_6.png" width="251" alt="image_6.png"> | **In this script, students will...** <br>- Compute multispectral indices (NDVI and NDWI) from Landsat 8 data <br>- Analyze the reduction of reservoir area due to drought <br>- Superimpose a multispectral index on an RGB image <br>- Quantify changes to vegetation <br>- Apply image processing techniques, such as creating a binary mask and registering images |
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# Related Courseware Modules
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## [**Regression Basics**](https://www.mathworks.com/matlabcentral/fileexchange/93435-regression-basics)
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| ![image_7.png](Images/image_7.png) | **Available on:**\href[![image_8.png](Images/image_8.png)](://www.mathworks.com/matlabcentral/fileexchange/93435-regression-basics)\href{http[![image_9.png](Images/image_9.png)](tlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Regression-Basics | project=RegressionBasics.prj)[GitHub](https://github.com/MathWorks-Teaching-Resources/Regression-Basics) |
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| <img src="Images/image_7.png" width="171" alt="image_7.png"> | **Available on:** [<img src="Images/image_8.png" width="129" alt="image_8.png">](https://www.mathworks.com/matlabcentral/fileexchange/93435-regression-basics) [<img src="Images/image_9.png" width="130" alt="image_9.png">](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Regression-Basics&project=RegressionBasics.prj) [GitHub](https://github.com/MathWorks-Teaching-Resources/Regression-Basics) |
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## [**Machine Learning for Regression**](https://www.mathworks.com/matlabcentral/fileexchange/95903-machine-learning-for-regression)
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| ![image_10.png](Images/image_10.png) | **Available on:**\href{https://w[![image_11.png](Images/image_11.png)](hworks.com/matlabcentral/fileexchange/95903-machine-learning-for-regression)\href{https://matlab[![image_12.png](Images/image_12.png)](orks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Machine-Learning-for-Regression | project=MLforRegression.prj)[GitHub](https://github.com/MathWorks-Teaching-Resources/Machine-Learning-for-Regression) |
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| <img src="Images/image_10.png" width="171" alt="image_10.png"> | **Available on:** [<img src="Images/image_11.png" width="129" alt="image_11.png">](https://www.mathworks.com/matlabcentral/fileexchange/95903-machine-learning-for-regression) [<img src="Images/image_12.png" width="130" alt="image_12.png">](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Machine-Learning-for-Regression&project=MLforRegression.prj) [GitHub](https://github.com/MathWorks-Teaching-Resources/Machine-Learning-for-Regression) |
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## [**Machine Learning Methods: Clustering**](https://www.mathworks.com/matlabcentral/fileexchange/135381-machine-learning-methods-clustering)
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| ![image_13.png](Images/image_13.png) | **Available on:**\href{https://www.mathwor[![image_14.png](Images/image_14.png)](/matlabcentral/fileexchange/135381-machine-learning-methods-clustering)\href{https://matlab.mathworks[![image_15.png](Images/image_15.png)](pen/github/v1?repo=MathWorks-Teaching-Resources/Machine-Learning-Methods-Clustering | project=MLMethodsClustering.prj)[GitHub](https://github.com/MathWorks-Teaching-Resources/Machine-Learning-Methods-Clustering) |
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| <img src="Images/image_13.png" width="171" alt="image_13.png"> | **Available on:** [<img src="Images/image_14.png" width="129" alt="image_14.png">](https://www.mathworks.com/matlabcentral/fileexchange/135381-machine-learning-methods-clustering) [<img src="Images/image_14.png" width="130" alt="image_14.png">](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Machine-Learning-Methods-Clustering&project=MLMethodsClustering.prj) [GitHub](https://github.com/MathWorks-Teaching-Resources/Machine-Learning-Methods-Clustering) |
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*©* Copyright 2024 The MathWorks™, Inc
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