Synonyms
Variogram modeling
Definition
The first law of geography states that “Everything is related to everything else, but near things are more related than distant things”. For example, it is natural that nearby places have more similar climates than do places which are far apart. Amounts of rainfall and iron ore deposits vary gradually over space. Such natural processes that vary gradually with respect to distance are said to be spatially correlated.
An example of a semivariogram
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References
Cressie, N.: Statistics for Spatial Data. Wiley-Interscience, (1993)
Clark, I.: Practical Geostatistics. Applied Science, (1979)
Banerjee, S., Carlin, B.P., Gelfand, A.E.: Hierarchical Modeling and Analysis for Spatial Data, Chapmann & Hall/CRC, (2004)
de Jong, S.M., van der Meer, F.D.: Remote Sensing Image Analysis Including the Spatial Domain (Remote Sensing and Digital Image Processing). Springer, (2006)
Ma, C.: The use of the variogram in construction of stationary time series models. J. Appl. Probability 41, 1093–1103 (2004)
Chica-Olmo, M., Abarca-Hernandez, F.: Computing geostatistical image texture for remotely sensed data classification. Comput. Geosci. (1999)
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© 2008 Springer-Verlag
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Gandhi, V. (2008). Semivariogram Modeling. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_1189
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DOI: https://doi.org/10.1007/978-0-387-35973-1_1189
Publisher Name: Springer, Boston, MA
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