Analyzing Weather Data from an Arduino-based weather station

Analyze data from a weather station connected to ThingSpeak

4.9K 次下载

更新时间 2019/10/2


This example illustrates how to analyze data from a weather station connected to ThingSpeak, an IoT analytics platform. The data is visualized and analyzed in MATLAB. The example shows how to visualize wind speed and direction, calculate and plot dew point, and verify pressure trends. It also demonstrates some techniques to remove outlier data and fill in missing data.
If using MATLAB versions R2014b through R2018b, this example requires the user to first install the MATLAB Support for ThingSpeak which is available here:
If using R2019a or higher, there is no need to download the ThingSpeak support as the needed functions are built-in to MATLAB.
For more information on IoT andThingSpeak, see the following resource pages:


MathWorks Internet of Things Team (2023). Analyzing Weather Data from an Arduino-based weather station (, MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2019b
与 R2014b 及更高版本兼容
Windows macOS Linux
Help CenterMATLAB Answers 中查找有关 Weather and Atmospheric Science 的更多信息
ThingSpeak 社区中有更多文件

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
版本 已发布 发行说明

Updated for compatibility with R2019b


Re-uploaded file.


Updated code to use latest version of thingSpeakRead. Updated plotting code to use yyaxis instead of plotyy.

Updated license
Updated description.

Added new resource link in description.

Updated description text.

Updated File for initial release.