Decomposition

Overview

The Decomposition feature is used to decompose the time series data into three components: Trend, Seasonality and Remainder.

Ecoplot app
Figure 1: Decomposition of time series data

Select item

You can specify the item data to use for decomposition.

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Figure 2: Item selection

Date range

You can select a date range to filter the time series data.

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Figure 3: Date range selection

Station selection

You can specify a station to perform the decomposition.

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Figure 4: Station selection

Summary

From your selected item, station and date range, the system will calculate the summary of the data (minimum, maximum, mean, median, first, and third quartiles).

Download CSV data

You can download the current filtered data by clicking on the CSV button.

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Figure 5: Summary

Decomposition chart

There are 4 parts of the decomposition chart:

  • Original: The original data of the time series.
  • Seasonal: The component that reflects the seasonal variation of the time series over a fixed and known period, e.g. season, day of week, etc.
  • Trend: The component which reflects the long-term progression of the time series, which shows a continuous increase or decrease in the data.
  • Remainder: The random variation representing the irregular component (or ‘noise’) of the time series. It is the residual of the time series after all other components are removed.
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Figure 6: Decomposition of time series chart