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Data Analysis and Statistics for Geography, Environmental Science, and Engineering
book

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

by Miguel F. Acevedo
December 2012
Beginner content levelBeginner
557 pages
19h 5m
English
CRC Press
Content preview from Data Analysis and Statistics for Geography, Environmental Science, and Engineering
405
12
Geostatistics
Kriging
12.1 KRIGING
In this chapter, we will continue the study of geostatistics that we commenced in Chapter 8. We
will look at Kriging methods, which are techniques to predict values of regionalized variables in
nonsampled points of a spatial domain using a collection of sampled points. This set of sampled
points form a marked point pattern, which can be regular or irregular (Figure 12.1). As explained
in Chapter 8, we calculate similarity (using the covariance) or dissimilarity (using the semivariance,
Figure 12.2) between points separated at given distances and generate a model of the covariance and
semivariance as a f
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Publisher Resources

ISBN: 9781439885017