climate data visualization and analysis -凯发k8网页登录

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curriculum module

created with r2021b. compatible with r2021b and later releases.

this curriculum module contains interactive that teach the basics of how to import, visualize, and analyze climate data using matlab.

background

you can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. this module covers importing, visualizing, and analyzing data. it also includes examples of analyzing temperature anomaly data and arctic sea ice data, as well as using multispectral imaging data to characterize drought in northern california.

the instructions inside the live scripts will guide you through the exercises and activities. get started with each live script by running it one section at a time. to stop running the script or a section midway (for example, when an animation is in progress), use the stop button in the run section of the live editor tab in the matlab toolstrip.

contact us

solutions are available upon instructor request. contact the if you would like to request solutions, provide feedback, or if you have a question.

prerequisites

this module assumes you have a basic understanding of matlab. if you do not, consider completing before starting this module.

getting started

accessing the module

on matlab online:

use the 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.

on desktop:

download or clone this repository. open matlab, navigate to the folder containing these scripts and double-click on . it will add the appropriate files to your matlab path and open an app that asks you where you would like to start.

ensure you have all the required products (listed below) installed. if you need to include a product, add it using the add-on explorer. to install an add-on, go to the home tab and select add-ons > get add-ons.

products

matlab® is used throughout. tools from image processing toolbox™, statistics and machine learning toolbox™, and curve fitting toolbox™ are used as well.

if you are viewing this in a version of matlab prior to r2023b, you can view the learning outcomes for each script

the license for this module is available in the .

or feel free to explore our other .

looking for more? find an issue? have a suggestion? please contact the . if you want to contribute directly to this project, you can find information about how to do so in the page on github.

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