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# Climate Data Visualization and Analysis
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[](https://www.mathworks.com/matlabcentral/fileexchange/110125-climate-data-visualization-and-analysis) or [](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Climate-Data-Visualization-and-Analysis&project=ClimateVis.prj)
_Created with R2021b. Compatible with R2021b and later releases._
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[](https://www.mathworks.com/matlabcentral/fileexchange/110125-climate-data-visualization-and-analysis) or [](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Climate-Data-Visualization-and-Analysis&project=ClimateVis.prj)
_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 [](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 [<imgsrc="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)
||**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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|<imgsrc="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 |
||**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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|<imgsrc="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 |
||**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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|<imgsrc="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 |
||**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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|<imgsrc="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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| :-- | :-- |
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@@ -80,17 +80,17 @@ The license for this module is available in the [LICENSE.md](https://github.com/
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