![]() This paper describes a calculation method to quantify the uncertainty associated to the spatial sampling and interpolation processes. ![]() The application of sampling and interpolation techniques (the type of grid, its density, the interpolation algorithms.) contributes to the uncertainty of the results. Using spatial interpolation tools (IDW, krigging.), values are assigned to the locations in which acoustic calculations have not been performed. This grid is created by the application of spatial sampling techniques. Although the outcome of the system is a continuous variable, the calculations that allow its evaluation are obtained from discrete points structured in a calculation grid. ![]() These maps are added to Geographic Information Systems (GIS), allowing sound level evaluation as a function of the continuous coordinates x and y, for a given height above ground. Noise maps results are usually presented as contour graphs or isoline curves, which describe the sound levels as functions of spatial location. ![]()
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