Kriging: a method of interpolation for geographical information systems.

A - Papers appearing in refereed journals

Oliver, M. A. and Webster, R. 1990. Kriging: a method of interpolation for geographical information systems. International Journal of Geographical Information Systems. 4 (3), pp. 313-332.

AuthorsOliver, M. A. and Webster, R.
Abstract

Geographical information systems could be improved by adding procedures for geostatistical spatial analysis to existing facilities. Most traditional methods of interpolation are based on mathematical as distinct from stochastic models of spatial variation. Spatially distributed data behave more like random variables, however, and regionalized variable theory provides a set of stochastic methods for analysing them. Kriging is the method of interpolation deriving from regionalized variable theory. It depends on expressing spatial variation of the property in terms of the variogram, and it minimizes the prediction errors which are themselves estimated. We describe the procedures and the way we link them using standard operating systems. We illustrate them using examples from case studies, one involving the mapping and control of soil salinity in the Jordan Valley of Israel, the other in semi-arid Botswana where the herbaceous cover was estimated and mapped from aerial photographic survey. 

KeywordsRRES175; 175_Statistics
Year of Publication1990
JournalInternational Journal of Geographical Information Systems
Journal citation4 (3), pp. 313-332
Digital Object Identifier (DOI)doi:10.1080/02693799008941549
Open accessPublished as non-open access
Funder project or code14
ISSN13623087
PublisherTaylor & Francis, London

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