Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform

Table 3

The four different categories for sequential design and examples [15].

Input-based	Output-based	Model output-based	Model-based
Uses only input values from previous samples to determine next sample.	Uses input and output values from previous samples to determine next sample.	Uses previous samples and model evaluations to determine next sample	Uses previous samples and model properties and parameters to determine next sample.
Examples:	Examples: (i) LOLA-Voronoi	Examples:	Examples: (i) Kriging-based
(i) Random sampling		(i) Adaptation to irregularities
(ii) Low-discrepancy sequences
		(ii) Slope, local optima and variance criteria
(iii) Sequentially nested Latin hypercubes
		(iii) Sequential Exploratory Experimental Design method (SEED)
(iv) Voronoi-based sampling
		(iv) Model error sampling
(v) Monte Carlo Optimization-based sampling