Journal Article10.1080/02693799008941549
Kriging: a method of interpolation for geographical information systems
M. A. Oliver,Richard Webster +1 more
1.9K
TL;DR: Kriging is the method of interpolation deriving from regionalized variable theory that depends on expressing spatial variation of the property in terms of the variogram, and it minimizes the prediction errors which are themselves estimated.
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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
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Climate and environmental factors affecting the incidence of cutaneous leishmaniasis in Isfahan, Iran
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References
•Book
Principles of Geographical Information Systems for Land Resources Assessment
Peter A. Burrough
- 21 Aug 1986
TL;DR: Geographical information systems Data structures for thematic maps Digital elevation models Data input, verification, storage, and output Methods of data analysis and spatial modelling Data quality, errors, and natural variation: sources of error Errors arising through processing.
2.8K