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