Essential Mathematics for Data Analysis and Earth Geometry
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Time Series Analysis
Identifying Trends
- Upward trend: Data increases over time.
- Downward trend: Data decreases over time.
- Stationary trend: No clear increase or decrease.
Smoothing Data (Reducing Fluctuations)
- 3-point moving mean: Average of 3 consecutive values.
- 5-point moving mean: Average of 5 consecutive values.
Seasonal Indices (SI)
Formula:
Seasonal Index = Actual Value ÷ Trend Value
- SI > 1 → Above-average season.
- SI < 1 → Below-average season.
Deseasonalising Data
Formula:
Deseasonalised Value = Actual Value ÷ Seasonal Index
Regression Line (Trend Line)
Equation of the line:
y = mx + c
- m = gradient (rate of change).
- c = y-intercept (starting value).
Bivariate Data Analysis
Types of Correlation
- Positive → Both variables increase together.
- Negative