Air Pollution: Correlation Analysis

In course

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Description

This lecture covers the analysis of air pollution data focusing on correlation and cross-correlations. Topics include time series analysis, autocorrelations, Fourier analysis, power spectrum, and periodicity. Practical demonstrations in R are provided to illustrate concepts.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_1wzrddn5

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Time series

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