How to Calculate a Semivariogram

••• Imgorthand/E+/GettyImages

A semivariogram is a mathematical function that shows spatial correlation between measurements of samples and are often represented graphically. Semivariograms are usually covered in advanced spatial statistics courses. One application of semivariograms is to calculate the average value of iron at different drilling locations.

    Draw a grid, where "h" represents the distance between samples. A 100 feet x 100 feet grid, advocated by geostatistical researcher Dr. Isobel Clark, allows you to visualize the problem and perform easier calculations.

    Write the value for the sample at each intersection.

    Find every pair of measurements that are 100 feet apart horizontally.

    Square the difference in value between each pair.

    Add up all of the squares and divide the answer by 2(number of pairs). This answer is a graph point.

    Repeat Steps 3 to 5 for 200 feet, 300 feet, 400 feet, 500 feet and 600 feet (stopping at about half the total sample size).

    Plot on a graph with distance between samples (feet) on the x-axis and experimental semivariogram (the numbers you calculated above) on the y-axis.

    Things You'll Need

    • Pen
    • Paper
    • Calculator

Related Articles

How to Calculate CV Values
How to Find a Z Score
How to Calculate Denominator Degrees of Freedom
How to Calculate Volume of a Rectangular Prism
How to Calculate a P-Value
How to Calculate a Confidence Interval
How to Calculate a T-Statistic
How to Determine Square Feet Area
How to Calculate Standard Errors
How to Approximate the Mean of Group Data
How to Calculate Average Area Using the Rainfall Thiessen...
How to Find the Slope in a Circle
How to Make a Relative Frequency Table
How to Figure out Your Composite Score on Your TEAS...
How to Grade Using a Square Root Curve
How to Find the Height of a Rectangular Pyramid
How to Solve a Parabola
How to Calculate Cumulative Relative Frequency
How to Find Standardized Values for Correlation
How to Calculate Your YTD GPA

Dont Go!

We Have More Great Sciencing Articles!