Describes classical, basic sampling designs for spatial survey, as
well as recently developed, advanced sampling designs and
estimators Presents probability sampling designs for estimating
parameters for a (sub)population, as well as non-probability
sampling designs for mapping Gives comprehensive overview of
model-assisted estimators Illustrates sampling designs with surveys
of soil organic carbon, above-ground biomass, air temperature,
opium poppy Explains integration of wall-to-wall data sets (e.g.
remote sensing images) and sample data Data and R code available on
github Exercises added making the book suitable as a textbook for
students
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