There are many factors that environmental scientists should
consider in their research. Weather and climate vary widely between
locations, soil varies at every spatial scale at which it is
examined, and even man-made attributes, such as the distribution of
pollution, fluctuate significantly. To analyse the varied kinds of
data and to predict at unvisited places from them, research
scientists need to be familiar with the techniques of
Geostatistics.
This revised and fully updated second edition of "Geostatistics
for Environmental Scientists" provides comprehensive coverage of
the techniques involved in this vital branch of statistics. The
book
introduces readers to the most up-to-date statistical
techniques, including, sampling, data screening, spatial
covariances, the variogram and its modelling; includes a new
chapter on stochastic simulation, and covers the latest methods,
such as residual maximum likelihood and factorial kriging analysis;
adopts a practical approach throughout, illustrating the
applications with worked examples and case studies; provides
step-by-step guidance for analysing environmental survey data;
explains the underlying theory and rationale behind the choices
faced by the researchers at each stage, allowing the reader to
appreciate the assumptions and constraints involved.
The accessible style of "Geostatistics for Environmental
Scientists, Second Edition" makes this text invaluable to advanced
undergraduate and graduate students of spatial variation and
environmental research.
General
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