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Time series analysis is performed on the Berkeley Earth Surface Temperature dataset.

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sn2606/Global-Temperature-Time-Series

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Global Temperature Time Series Analysis

Singular Spectrum Analysis and ARIMA models implemented on Berkeley Earth Surface Time Series
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The Berkeley Earth Surface Temperature Study combines 1.6 billion temperature reports from 16 pre-existing archives. It is nicely packaged and allows for slicing into interesting subsets (for example by country). Time series analysis is performed on this dataset.

Link to the dataset

Kaggle Notebook for visualizations and ARIMA

Kaggle Notebook for SSA

Few points

Decompositions and outputs

Decomposition of time series for ARIMA

decomp-arima

Forecast for ARIMA - mse = 0.09 (on same data for last 12 points i.e. year 2015)

forecast-arima

Decomposition of time series for SSA

decomp-ssa

Forecast for SSA - mse = 0.085 (on same data for last 12 points i.e. year 2015)

forecast-ssa

Contact

@LinkedIn - swaranjananayak@gmail.com

Project Link: https://github.com/sn2606/Global-Temperature-Time-Series

Acknowledgements