Constructing a semivariogram involves several steps:
Data Collection: Gather spatial data on disease incidence or health-related metrics. Calculate Semivariance: Compute the semivariance for different distance bins by calculating the average squared differences between paired data values. Plot the Semivariogram: Plot the semivariance values against the corresponding distances to visualize the spatial structure. Model Fitting: Fit a theoretical model (e.g., spherical, exponential) to the empirical semivariogram for further analysis.
