Imagine driving a car that has not been built yet. Design the car: look at principles
of combustion, stability, and comfort; consider the manufacturing tools available,
including the individuals who will build the car; and keep it within budget.
Spatio-temporal sampling design has some of the same features: the principles
of stratification, replication, and randomization are important; measuring instruments
have to be bought or built and possibly moved around the spatio-temporal
domain by field teams; and there is still a bottom line to adhere to.