In spatial statistics,
semivariance can be described by
- <math>\gamma(h)=\sum_{i=1}^n(h)\frac{(z(x+h)-z(x))^2}{n(h)}</math>
where z denotes a data
value at a particular location, h is the distance between data values, and n(h) are the number of pairs of data values a distance of h apart.
A plot of the semivariance versus distance between data values is known as a semivariogram, or simply as a variogram.
Relevant topics: geostatistics
References:
- Shine, J.A., Wakefield, G.I.: A comparison of supervised imagery classification using analyst-chosen and geostatistically-chosen training sets, 1999, http://www.geovista.psu.edu/sites/geocomp99/Gc99/044/gc_044.htm
