Analyzing Weather Data from an Arduino-based weather station

Versión 1.4.2 (2,25 MB) por MathWorks Internet of Things Team
Analyze data from a weather station connected to ThingSpeak
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Actualizado 2 oct 2019

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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:
http://www.mathworks.com/matlabcentral/fileexchange/52244
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:
http://www.mathworks.com/thingspeak
www.mathworks.com/solutions/internet-of-things

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MathWorks Internet of Things Team (2024). Analyzing Weather Data from an Arduino-based weather station (https://www.mathworks.com/matlabcentral/fileexchange/47049-analyzing-weather-data-from-an-arduino-based-weather-station), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019b
Compatible con cualquier versión desde R2014b
Compatibilidad con las plataformas
Windows macOS Linux
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Versión Publicado Notas de la versión
1.4.2

Updated for compatibility with R2019b
1.4.1

Re-uploaded file.
1.4.00

Updated code to use latest version of thingSpeakRead. Updated plotting code to use yyaxis instead of plotyy.
1.3.0.1

Updated license
Updated description.
1.3.0.0

Added new resource link in description.
1.2.0.0

Updated description text.
1.1.0.0

Updated File for initial release.