Semivariance: Difference between revisions

For the measure of downside risk, see Variance#Semivariance

In spatial statistics, the empirical semivariance is described by

${\hat {\gamma }}(h)={\frac {1}{2}}\cdot {\frac {1}{n(h)}}\sum _{i=1}^{n(h)}(z(x_{i}+h)-z(x_{i}))^{2}$

where z is a datum at a particular location, h is the distance between ordered data, and n(h) is the number of paired data at a distance of h. The semivariance is half the variance of the increments $z(x_{i}+h)-z(x_{i})$, but the whole variance of z-values at given separation distance h (Bachmaier and Backes, 2008).

A plot of semivariances versus distances between ordered data in a graph is known as a semivariogram rather than a variogram. Many authors call $2{\hat {\gamma }}(h)$ a variogram, others use the terms variogram and semivariogram synonymously. However, Bachmaier and Backes (2008), who discussed this confusion, have shown that ${\hat {\gamma }}(h)$ should be called a variogram, terms like semivariogram or semivariance should be avoided.

See also

• Variance
• Geostatistics
• Kriging

References

• Bachmaier, M and Backes, M, 2008, "Variogram or semivariogram? Understanding the variances in a variogram". Article doi:10.1007/s11119-008-9056-2, Precision Agriculture, Springer-Verlag, Berlin, Heidelberg, New York.
• Clark, I, 1979, Practical Geostatistics, Applied Science Publishers
• David, M, 1978, Geostatistical Ore Reserve Estimation, Elsevier Publishing
• Hald, A, 1952, Statistical Theory with Engineering Applications, John Wiley & Sons, New York
• Journel, A G and Huijbregts, Ch J, 1978 Mining Geostatistics, Academic Press

External links

• Shine, J.A., Wakefield, G.I.: A comparison of supervised imagery classification using analyst-chosen and geostatistically-chosen training sets, 1999, https://web.archive.org/web/20020424165227/http://www.geovista.psu.edu/sites/geocomp99/Gc99/044/gc_044.htm